title
Python Full Course 2023 | Learn Python in 12 Hours | Python Tutorial for Beginners | Simplilearn

description
🔥 Purdue Post Graduate Program In AI And Machine Learning: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=DataStructuresinPython-ITSMDeOgXxw&utm_medium=DescriptionFirstFold&utm_source=youtube 🔥Professional Certificate Course In AI And Machine Learning by IIT Kanpur (India Only): https://www.simplilearn.com/iitk-professional-certificate-course-ai-machine-learning?utm_campaign=23AugustTubebuddyExpPCPAIandML&utm_medium=DescriptionFF&utm_source=youtube 🔥AI & Machine Learning Bootcamp(US Only): https://www.simplilearn.com/ai-machine-learning-bootcamp?utm_campaign=DataStructuresinPython-ITSMDeOgXxw&utm_medium=DescriptionFirstFold&utm_source=youtube 🔥AI Engineer Masters Program (Discount Code - YTBE15): https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=SCE-AIMasters&utm_medium=DescriptionFF&utm_source=youtube This Python Full Course 2023 will cover the fundamentals of Python starting with Python Programming Concepts like Data types, Variables, Conditional Statements, Strings, operators, lists, tuples and dictionaries. Not just that, this Python Tutorial for beginners will also dive into the most crucial programming paradigms that involve the Advanced python programming with oops concepts, exception handling, file handling, sorting techniques and much more. This 12 hour Python Tutorial, will also cover Spotify data analysis project and a line up of interview questions and Answers that will help you get your dream job. Here we start with: 00:00:00 Introduction to Python Full Course 2023 00:02:20 Introduction To Python 00:06:20 Installing Python On Windows 00:21:17 Python Developer Roadmap 00:36:02 Python First Program 00:45:30 Variables In Python 01:12:18 Python Data Types 01:43:53 Python Object Types and Type Conversion 02:17:46 Numbers In Python 02:42:50 Strings In Python 03:11:01 Operators In Python 03:36:11 Python Lists, Tuples And Dictionaries 04:14:10 If Else Statement In Python 04:32:07 While Loop In Python 04:56:03 For Loop In Python 05:25:20 Python Loop Coding Techniques 05:53:57 Python Functions 06:33:21 Python Lambda Function 06:59:46 Classes and Objects in python 07:15:27 OOPS in Python 07:42:11 Inheritance in Python 08:07:51 Iterators In Python 08:18:10 Generators In Python 08:37:35 Scopes & Arguments In Python 08:55:28 Modules in Python https://www.kaggle.com/datasets/lehaknarnauli/spotify-datasets?select=artists.csv https://www.kaggle.com/datasets/zaheenhamidani/ultimate-spotify-tracks-db 🔥 Explore Our Free Skillup Courses: https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=PythonFullCourse2023&utm_medium=Description&utm_source=youtube ✅Subscribe to our Channel to learn more about the top Technologies: https://bit.ly/2VT4WtH Watch Top Trending Videos From Simplilearn: ⏩Top 10 Programming Languages in 2023: https://youtu.be/Q2u3llawnvc ⏩Top 10 Certifications for 2023: https://youtu.be/S6yadRofCsM ⏩Top 10 Highest Paying Jobs in 2023: https://youtu.be/9tL1m9MXaXQ ⏩Top 10 Dying Programming Languages 2023: https://youtu.be/51mUwZ6J2D4 ⏩Top 10 Technologies to Learn in 2022: https://youtu.be/IrgGmaeYmdM ➡️ About Post Graduate Program In AI And Machine Learning This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots. ✅ Key Features - Post Graduate Program certificate and Alumni Association membership - Exclusive hackathons and Ask me Anything sessions by IBM - 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more - Master Classes delivered by Purdue faculty and IBM experts - Simplilearn's JobAssist helps you get noticed by top hiring companies - Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more - Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools ✅ Skills Covered - ChatGPT - Generative AI - Explainable AI - Generative Modeling - Statistics - Python - Supervised Learning - Unsupervised Learning - NLP - Neural Networks - Computer Vision - And Many More… 👉 Learn More At: https://www.simplilearn.com/pgp-ai-machine-learning-certification-training-course?utm_campaign=DataStructuresinPython-ITSMDeOgXxw&utm_medium=Description&utm_source=youtube

detail
{'title': 'Python Full Course 2023 | Learn Python in 12 Hours | Python Tutorial for Beginners | Simplilearn', 'heatmap': [{'end': 29999.246, 'start': 29563.429, 'weight': 1}], 'summary': "Learn python in a 12-hour course covering python's popularity, installation, career paths, data types, numeric operations, string manipulation, conditional statements, loops, functions, classes, object-oriented programming, modules, file handling, sorting algorithms, data analysis, and interview questions with quantifiable data like average salaries and shipping costs.", 'chapters': [{'end': 711.532, 'segs': [{'end': 28.147, 'src': 'embed', 'start': 0.129, 'weight': 10, 'content': [{'end': 3.611, 'text': "Python's popularity has grown exponentially over the past few years.", 'start': 0.129, 'duration': 3.482}, {'end': 11.536, 'text': 'It is widely used, as evidenced by high rankings in surveys such as the Tyobey Index and the vast number of Python-based GitHub projects.', 'start': 3.991, 'duration': 7.545}, {'end': 15.198, 'text': 'Python is renowned for its simple programming, syntax,', 'start': 12.036, 'duration': 3.162}, {'end': 20.962, 'text': 'code readability and English-like commands that make programming a lot easier and more efficient.', 'start': 15.198, 'duration': 5.764}, {'end': 28.147, 'text': "Python's large library system makes it a best choice for data science, machine learning, and artificial intelligence projects.", 'start': 21.522, 'duration': 6.625}], 'summary': "Python's popularity has surged, evidenced by high rankings and vast github projects. its simplicity, readability, and large library system make it a top choice for data science, machine learning, and ai projects.", 'duration': 28.018, 'max_score': 0.129, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw129.jpg'}, {'end': 416.866, 'src': 'embed', 'start': 383.842, 'weight': 1, 'content': [{'end': 390.427, 'text': 'as you all know, python is an interpreted language, so you need to install a python interpreter.', 'start': 383.842, 'duration': 6.585}, {'end': 400.194, 'text': 'so for that we will go to the browser and search for python.org.', 'start': 390.427, 'duration': 9.767}, {'end': 410.801, 'text': 'now we will move to the downloads page and choose the latest version of python to download, and the latest version is python 3.9.5.', 'start': 400.194, 'duration': 10.607}, {'end': 411.863, 'text': "we'll click on the download.", 'start': 410.802, 'duration': 1.061}, {'end': 416.866, 'text': 'Once the installer has downloaded, open it.', 'start': 414.324, 'duration': 2.542}], 'summary': 'To install python, download the latest version 3.9.5 from python.org and run the installer.', 'duration': 33.024, 'max_score': 383.842, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw383842.jpg'}, {'end': 711.532, 'src': 'embed', 'start': 678.6, 'weight': 0, 'content': [{'end': 691.191, 'text': 'install scipy pip, install scipy and press enter and depending on your internet speed, it will be downloaded.', 'start': 678.6, 'duration': 12.591}, {'end': 702.004, 'text': 'Now you can see that the scipy library has been installed successfully and here you can see that the requirement already satisfied numpy.', 'start': 693.737, 'duration': 8.267}, {'end': 707.949, 'text': 'So we have firstly downloaded the numpy library so that we can easily run the scipy library.', 'start': 702.685, 'duration': 5.264}, {'end': 711.532, 'text': 'Now we will download and install pandas library.', 'start': 708.629, 'duration': 2.903}], 'summary': 'Installed scipy and numpy libraries; proceeding to install pandas.', 'duration': 32.932, 'max_score': 678.6, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw678600.jpg'}], 'start': 0.129, 'title': "Python's influence and applications", 'summary': "Highlights python's exponential growth in popularity through high rankings in surveys like the tyobey index and the vast number of python-based github projects. it also discusses the average base salary of python developers in the us, python certification course details, and the installation of python 3.9.5, setting up the environment, and installing essential libraries including numpy, scipy, and pandas.", 'chapters': [{'end': 43.619, 'start': 0.129, 'title': "Python's growing popularity", 'summary': "Highlights python's exponential growth in popularity through high rankings in surveys like the tyobey index and the vast number of python-based github projects, as well as its suitability for data science, machine learning, and artificial intelligence projects, with job opportunities at tech giants like google and meta offering salaries starting from 5.1 lakhs per annum in india.", 'duration': 43.49, 'highlights': ["Python's exponential growth in popularity is evidenced by high rankings in surveys like the Tyobey Index and the vast number of Python-based GitHub projects.", "Python's large library system makes it a best choice for data science, machine learning, and artificial intelligence projects.", 'Tech giants like Google, Meta, and Bosch hire Python developers with handsome salaries, with opportunities in India starting from at least 5.1 lakhs per annum.']}, {'end': 354.809, 'start': 43.919, 'title': 'Python career & course overview', 'summary': 'Discusses the average base salary of python developers in the us, the coverage of python fundamentals and advanced concepts, python certification course details, and popular python frameworks, libraries, and ides. it also highlights the uses of python in various fields such as data science, machine learning, and game development.', 'duration': 310.89, 'highlights': ['Python Developer Salary The average base salary of Python developers in the US is $105,000, with a potential to reach $170,000 annually.', 'Python Course Coverage The full Python course covers fundamental programming concepts, advanced Python programming paradigms, Spotify data analysis project, and interview question and answer preparation.', 'Python Certification Course Simply Learn offers a Python certification course that can lead to the best career opportunities for Python software development.', "Python Features Python's features include a simple structure, portability, open-source availability, object-oriented approach, and a comprehensive collection of libraries for various tasks.", 'Uses of Python Python is used in desktop and web application development, data science, machine learning, artificial intelligence, and game development.']}, {'end': 711.532, 'start': 355.959, 'title': 'Python installation and library setup', 'summary': 'Covers the installation of python 3.9.5, setting up the environment, checking the installation, upgrading pip, and installing essential libraries including numpy, scipy, and pandas.', 'duration': 355.573, 'highlights': ['Python 3.9.5 is the latest version for download and installation. The latest version of Python, 3.9.5, is emphasized for download and installation.', 'Google, Quora, Facebook, Netflix, Spotify, and Instagram are some of the top companies using Python. Mention of top companies such as Google, Facebook, Netflix, and others leveraging Python for their operations.', 'The pip version 21.1.2 is the latest version available for download and installation. Emphasizing the latest pip version, 21.1.2, and the process of upgrading it for installation.']}], 'duration': 711.403, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw129.jpg', 'highlights': ["Python's exponential growth in popularity is evidenced by high rankings in surveys like the Tyobey Index and the vast number of Python-based GitHub projects.", 'The average base salary of Python developers in the US is $105,000, with a potential to reach $170,000 annually.', "Python's large library system makes it a best choice for data science, machine learning, and artificial intelligence projects.", 'Python 3.9.5 is the latest version for download and installation.', 'Tech giants like Google, Meta, and Bosch hire Python developers with handsome salaries, with opportunities in India starting from at least 5.1 lakhs per annum.', 'The full Python course covers fundamental programming concepts, advanced Python programming paradigms, Spotify data analysis project, and interview question and answer preparation.', 'Simply Learn offers a Python certification course that can lead to the best career opportunities for Python software development.', "Python's features include a simple structure, portability, open-source availability, object-oriented approach, and a comprehensive collection of libraries for various tasks.", 'Python is used in desktop and web application development, data science, machine learning, artificial intelligence, and game development.', 'Mention of top companies such as Google, Facebook, Netflix, and others leveraging Python for their operations.', 'The pip version 21.1.2 is the latest version available for download and installation.']}, {'end': 1892.814, 'segs': [{'end': 893.051, 'src': 'embed', 'start': 840.216, 'weight': 0, 'content': [{'end': 863.736, 'text': 'press enter and we want to print this array like print array created comma a and press enter.', 'start': 840.216, 'duration': 23.52}, {'end': 865.805, 'text': 'You can see the output.', 'start': 864.505, 'duration': 1.3}, {'end': 869.946, 'text': 'Eric created 124 and 579..', 'start': 865.805, 'duration': 4.141}, {'end': 873.287, 'text': 'So the NumPy library is working fine.', 'start': 869.946, 'duration': 3.341}, {'end': 876.107, 'text': 'So we will check for other libraries.', 'start': 874.087, 'duration': 2.02}, {'end': 887.47, 'text': 'For that we will write import space matplotlib and press enter.', 'start': 876.488, 'duration': 10.982}, {'end': 893.051, 'text': "If you don't get any error it means that the library has been installed successfully.", 'start': 888.61, 'duration': 4.441}], 'summary': "Using numpy, eric created an array with 124 and 579, confirming the library's functionality. checked for matplotlib installation.", 'duration': 52.835, 'max_score': 840.216, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw840216.jpg'}, {'end': 1028.21, 'src': 'embed', 'start': 992.788, 'weight': 1, 'content': [{'end': 994.449, 'text': '32 bit and 64 bit.', 'start': 992.788, 'duration': 1.661}, {'end': 1002.175, 'text': 'We will download the 64 bit and it is of size 477 MB so it will take ample amount of time to download.', 'start': 995.31, 'duration': 6.865}, {'end': 1004.037, 'text': 'We will download it.', 'start': 1003.296, 'duration': 0.741}, {'end': 1010.202, 'text': 'As the download completes click on the application file.', 'start': 1006.759, 'duration': 3.443}, {'end': 1015.627, 'text': 'Now click on next.', 'start': 1014.707, 'duration': 0.92}, {'end': 1019.148, 'text': 'The license agreement will appear.', 'start': 1017.628, 'duration': 1.52}, {'end': 1021.369, 'text': 'Now click on I agree.', 'start': 1019.768, 'duration': 1.601}, {'end': 1024.69, 'text': 'Then you have to select the installation type.', 'start': 1022.869, 'duration': 1.821}, {'end': 1028.21, 'text': 'If you want to install for a single user click on just me.', 'start': 1025.51, 'duration': 2.7}], 'summary': "Download 64-bit version of 477 mb, select 'just me' for installation.", 'duration': 35.422, 'max_score': 992.788, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw992788.jpg'}], 'start': 711.532, 'title': 'Python installation, anaconda, and career paths', 'summary': 'Covers the installation of pandas, matplotlib, numpy, and scipy libraries in python, anaconda installation steps, features, and use cases, and explores python developer opportunities, including average salaries, essential skills, advanced concepts, and career paths in web development, machine learning, ai, data science, automation testing, and web scripting.', 'chapters': [{'end': 922.152, 'start': 711.532, 'title': 'Installing python libraries and checking installation', 'summary': 'Covers the installation of pandas, matplotlib, numpy, and scipy libraries in python, with successful installation verified through specific commands. it also includes checking the installation and an introduction to anaconda.', 'duration': 210.62, 'highlights': ['The chapter covers the installation of Pandas, Matplotlib, NumPy, and SciPy libraries in Python, with successful installation verified through specific commands. It also includes checking the installation and an introduction to Anaconda.', 'Successful installation of NumPy library is demonstrated through the creation of an array and printing the array, with no errors. (e.g. array created: [1. 2. 4. 5. 7. 9.] )', 'Successful installation of Matplotlib, Pandas, and SciPy libraries is verified through importing the libraries without encountering any errors.']}, {'end': 1317.815, 'start': 923.891, 'title': 'Anaconda installation and features', 'summary': 'Covers the process of downloading and installing anaconda, including key steps such as choosing the individual edition, selecting installation options, and exploring the features of anaconda navigator and anaconda prompt. it also includes information on checking the installed version of conda and launching jupyter notebook. additionally, it provides guidance on creating and running python files in jupyter notebook and discusses the essential skills required to be a good python developer.', 'duration': 393.924, 'highlights': ['The individual edition of Anaconda can be downloaded for free from www.anaconda.com, with the 64-bit version being approximately 477 MB in size.', 'The installation process involves selecting installation type, location, and advanced options, followed by launching Anaconda Navigator and Anaconda Prompt to explore pre-installed applications and tools, as well as the option to install additional tools like RStudio, PyCharm Professional, and others.', 'The chapter also provides guidance on checking the installed version of conda (4.10.1) and launching Jupyter notebook, along with creating and running Python files in Jupyter notebook.', 'Essential skills for being a good Python developer are highlighted, including problem-solving mindset, strong communication skills, eagerness to learn new tools and libraries, knowledge of how things work internally, and strong technical skills.']}, {'end': 1892.814, 'start': 1318.856, 'title': 'Python developer opportunities & career paths', 'summary': "Discusses the average salaries for python developers in india and the united states, the benefits of becoming a python developer, the essential topics to learn to become a python developer, advanced concepts in python, the importance of github in a python developer's career, and career paths available as a python developer, including web development, machine learning, artificial intelligence, data science, automation testing, and web scripting.", 'duration': 573.958, 'highlights': ['Python developers in India earn an average salary of rupees 8,25,593 per year, while Python developers in the United States earn $1,6649 per year, as reported by indeed.com on 21st December 2022. The average salaries for Python developers in India and the United States are rupees 8,25,593 per year and $1,6649 per year, respectively, as per indeed.com on 21st December 2022.', 'Python is a versatile language and is the most sought-after language to learn in 2021, catering to various disciplines such as data analysis, machine learning, artificial intelligence, web development, and more. Python is a versatile language sought after by data scientists, software engineers, and web developers, catering to multiple disciplines including data analysis, machine learning, artificial intelligence, and web development.', "Python's benefits include basic syntax, readability, ease of learning, multipurpose usage, productivity, wide range of applications, a vast and active community, and use by major companies like Google, Facebook, Netflix, and IBM. Python's benefits include basic syntax, readability, ease of learning, productivity, wide range of applications, a vast and active community, and use by major companies like Google, Facebook, Netflix, and IBM.", 'The essential topics to learn to become a Python developer include basic syntax, code editors, indentation, loops, logical operators, data types, variables, operators, strings, numbers, conditional statements, type convergence, functions, built-in functions, data structures, algorithms, and advanced concepts like object-oriented programming, methods, functional programming, inheritance, decorators, lambda functions, classes, regular expressions, and GitHub. The essential topics to learn to become a Python developer include basic syntax, code editors, indentation, loops, logical operators, data types, variables, operators, strings, numbers, conditional statements, type convergence, functions, built-in functions, data structures, algorithms, and advanced concepts like object-oriented programming, methods, functional programming, inheritance, decorators, lambda functions, classes, regular expressions, and GitHub.', 'Data science, web development, machine learning, artificial intelligence, and automation testing are viable career paths for Python developers, with data science being rated as one of the hottest fields of the 21st century, offering an average salary of $97,148 reported by indeed.com on 21st December 2022. Data science, web development, machine learning, artificial intelligence, and automation testing are viable career paths for Python developers, with data science rated as one of the hottest fields of the 21st century and offering an average salary of $97,148 as per indeed.com on 21st December 2022.']}], 'duration': 1181.282, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw711532.jpg', 'highlights': ['Covers installation of Pandas, Matplotlib, NumPy, and SciPy libraries in Python, with successful installation verified through specific commands.', 'Python developers in India earn an average salary of rupees 8,25,593 per year, while Python developers in the United States earn $1,6649 per year, as reported by indeed.com on 21st December 2022.', 'Python is a versatile language and is the most sought-after language to learn in 2021, catering to various disciplines such as data analysis, machine learning, artificial intelligence, web development, and more.', 'Essential skills for being a good Python developer are highlighted, including problem-solving mindset, strong communication skills, eagerness to learn new tools and libraries, knowledge of how things work internally, and strong technical skills.', 'Data science, web development, machine learning, artificial intelligence, and automation testing are viable career paths for Python developers, with data science being rated as one of the hottest fields of the 21st century, offering an average salary of $97,148 reported by indeed.com on 21st December 2022.']}, {'end': 2792.268, 'segs': [{'end': 2011.103, 'src': 'embed', 'start': 1975.852, 'weight': 2, 'content': [{'end': 1980.494, 'text': 'then one of the industries with the most rapid growth is machine learning.', 'start': 1975.852, 'duration': 4.642}, {'end': 1990.922, 'text': "If you're interested in pursuing a career in ML and AI, you should learn the following things starting with applying maths and stats.", 'start': 1981.154, 'duration': 9.768}, {'end': 2000.592, 'text': 'then you should have hands-on machine learning algorithms, and then you should learn libraries such as scikit-learn, tensorflow and keras.', 'start': 1990.922, 'duration': 9.67}, {'end': 2011.103, 'text': 'then you should have hands-on prediction model, then neural networks for deep learning, and then the natural language processing,', 'start': 2000.592, 'duration': 10.511}], 'summary': 'Machine learning offers rapid growth. pursue career by learning math, stats, ml algorithms, scikit-learn, tensorflow, keras, prediction models, neural networks, and natural language processing.', 'duration': 35.251, 'max_score': 1975.852, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw1975852.jpg'}, {'end': 2101.507, 'src': 'embed', 'start': 2074.455, 'weight': 1, 'content': [{'end': 2078.716, 'text': 'then we should have a hands-on selenium web driver.', 'start': 2074.455, 'duration': 4.261}, {'end': 2086.978, 'text': 'then we can learn selenium grid and then we should have a hands-on computer vision using opencv library.', 'start': 2078.716, 'duration': 8.262}, {'end': 2091.458, 'text': 'after these skills, you can pursue a career in web scraping and automation testing.', 'start': 2086.978, 'duration': 4.48}, {'end': 2095.123, 'text': 'we talk about the average salary for automation engineer.', 'start': 2091.92, 'duration': 3.203}, {'end': 2101.507, 'text': 'that is dollar ninety four thousand two hundred and eleven us dollars per year in the united states,', 'start': 2095.123, 'duration': 6.384}], 'summary': 'Learn selenium, opencv for web scraping, automation testing. avg salary: $194,211/year in the us.', 'duration': 27.052, 'max_score': 2074.455, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw2074455.jpg'}, {'end': 2345.576, 'src': 'embed', 'start': 2312.929, 'weight': 3, 'content': [{'end': 2314.832, 'text': 'input round brackets started.', 'start': 2312.929, 'duration': 1.903}, {'end': 2322.604, 'text': 'for the message we have to put it in inverted commas and first number colon round bracket close and another round bracket close.', 'start': 2314.832, 'duration': 7.772}, {'end': 2326.31, 'text': 'Now we will insert an int value in variable B.', 'start': 2323.505, 'duration': 2.805}, {'end': 2333.489, 'text': 'For that we will write the command b equal to int round bracket started input round bracket started.', 'start': 2327.065, 'duration': 6.424}, {'end': 2334.449, 'text': 'For the message.', 'start': 2333.649, 'duration': 0.8}, {'end': 2339.773, 'text': 'we will put the message in inverted commas and the second number colon,', 'start': 2334.449, 'duration': 5.324}, {'end': 2345.576, 'text': 'and then we will close this message by round bracket and another round bracket closing.', 'start': 2339.773, 'duration': 5.803}], 'summary': 'Instructions for inserting an int value in variable b using specific syntax.', 'duration': 32.647, 'max_score': 2312.929, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw2312929.jpg'}, {'end': 2518.303, 'src': 'embed', 'start': 2490.033, 'weight': 0, 'content': [{'end': 2503.687, 'text': 'For that The best Python IDs in the market are Jupyter Notebook, Visual Studio Code, Sublime Text, PyCharm, Python IDLE and Spyder Notebook.', 'start': 2490.033, 'duration': 13.654}, {'end': 2507.248, 'text': 'Among all these IDs, we have worked with Python IDLE.', 'start': 2504.327, 'duration': 2.921}, {'end': 2509.909, 'text': 'Now we will write a program in Jupyter Notebook.', 'start': 2507.808, 'duration': 2.101}, {'end': 2513.142, 'text': 'For that you have to install Jupyter Notebook.', 'start': 2510.902, 'duration': 2.24}, {'end': 2518.303, 'text': 'I have installed Anaconda distribution and it has Python IDE already installed.', 'start': 2513.903, 'duration': 4.4}], 'summary': 'Jupyter notebook, visual studio code, sublime text, pycharm, python idle, and spyder notebook are some of the best python ids in the market. anaconda distribution comes with python ide installed.', 'duration': 28.27, 'max_score': 2490.033, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw2490033.jpg'}, {'end': 2589.642, 'src': 'embed', 'start': 2552.044, 'weight': 5, 'content': [{'end': 2555.566, 'text': 'We will select the location in OneDrive desktop.', 'start': 2552.044, 'duration': 3.522}, {'end': 2558.588, 'text': 'And I have created a Python 1 folder there.', 'start': 2556.546, 'duration': 2.042}, {'end': 2562.81, 'text': 'So here we will create a new Python 3 notebook.', 'start': 2559.708, 'duration': 3.102}, {'end': 2581.28, 'text': 'and name it as first python program.', 'start': 2568.897, 'duration': 12.383}, {'end': 2585.721, 'text': 'and now here we can start writing our program.', 'start': 2581.28, 'duration': 4.441}, {'end': 2589.642, 'text': 'here we will write a program to multiply three numbers.', 'start': 2585.721, 'duration': 3.921}], 'summary': 'Creating a python 3 notebook in onedrive to write a program for multiplying three numbers.', 'duration': 37.598, 'max_score': 2552.044, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw2552044.jpg'}], 'start': 1893.474, 'title': 'Python and ml/ai career paths', 'summary': 'Covers learning flask and web development basics, including time required, essential front-end technologies, and average salary for a python web developer. it also discusses ml & ai career paths, essential skills, average salaries, web scraping, automation testing, and practical steps for writing and running python programs, emphasizing the significance of building a portfolio and mastering python for various job roles.', 'chapters': [{'end': 1975.852, 'start': 1893.474, 'title': 'Learning flask and web development basics', 'summary': 'Discusses the learning path for flask, including the time required, essential front-end technologies, and average salary for a python web developer in the united states, along with a brief mention of career paths in machine learning and artificial intelligence.', 'duration': 82.378, 'highlights': ['Flask takes 1 to 1.5 weeks to learn, suitable for creating straightforward, lightweight web applications, and offers capabilities like support for developing REST APIs and unit testing.', 'Average salary for a Python web developer in the United States is $106,649 per year as stated by Indeed.com.', 'To build a GUI based web app, one should have knowledge of Kinter MVC and MVD architecture, which stands for model view control and model view template.', 'Front-end technologies including HTML, CSS, and JavaScript are essential for web development.', "Flask is one of the simplest frameworks to learn in Python, although it lacks Django's strength and breadth.", 'Career paths in machine learning and artificial intelligence are briefly mentioned.']}, {'end': 2792.268, 'start': 1975.852, 'title': 'Ml & ai career paths and python programming', 'summary': 'Discusses the essential skills and average salaries in machine learning, ai, web scraping, and automation testing, along with practical steps for writing and running python programs. it also emphasizes the significance of building a portfolio and mastering python for various job roles.', 'duration': 816.416, 'highlights': ['The average salary for a machine learning engineer is $1,007,856 per year in the United States as of 21st December 2022, as stated by indeed.com. This highlight provides quantifiable data about the average salary for a machine learning engineer, emphasizing the lucrative nature of the career path.', 'The average salary for an automation engineer is $94,211 per year in the United States as of 21st December 2022, as stated by indeed.com. This highlight presents quantifiable data about the average salary for an automation engineer, showcasing the potential earnings in this field.', 'The chapter emphasizes the significance of building a portfolio and mastering Python for various job roles. This highlight underscores the importance of building a portfolio and mastering Python for different job roles, indicating their value in career advancement.', 'Python variables are containers for storing data values, and a variable is created the moment a value is assigned to it. This highlight provides fundamental knowledge about Python variables and their dynamic nature, essential for understanding Python programming.']}], 'duration': 898.794, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw1893474.jpg', 'highlights': ['Flask takes 1 to 1.5 weeks to learn, suitable for creating straightforward, lightweight web applications, and offers capabilities like support for developing REST APIs and unit testing.', 'Average salary for a machine learning engineer is $1,007,856 per year in the United States as of 21st December 2022, as stated by indeed.com.', 'Average salary for a Python web developer in the United States is $106,649 per year as stated by Indeed.com.', 'Front-end technologies including HTML, CSS, and JavaScript are essential for web development.', 'The chapter emphasizes the significance of building a portfolio and mastering Python for various job roles.', 'The average salary for an automation engineer is $94,211 per year in the United States as of 21st December 2022, as stated by indeed.com.']}, {'end': 5883.733, 'segs': [{'end': 3692.419, 'src': 'embed', 'start': 3655.745, 'weight': 4, 'content': [{'end': 3661.567, 'text': "so this time i'm storing a minus b in result and let's go ahead and print result.", 'start': 3655.745, 'duration': 5.822}, {'end': 3665.583, 'text': 'you can see here 100 minus 200 is minus 100.', 'start': 3661.567, 'duration': 4.016}, {'end': 3679.039, 'text': "then you can also have, let's say, result equal to a by b and let's print it fair enough, we have 0.5 because 100 divided by 200 is 0.5.", 'start': 3665.583, 'duration': 13.456}, {'end': 3681.963, 'text': 'similarly, you can also have integer division.', 'start': 3679.039, 'duration': 2.924}, {'end': 3692.419, 'text': "suppose i write 100 divided by, say, 40 and I'll print the result.", 'start': 3681.963, 'duration': 10.456}], 'summary': 'Performed arithmetic operations: 100-200=-100, 100/200=0.5, 100/40=2', 'duration': 36.674, 'max_score': 3655.745, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw3655745.jpg'}, {'end': 4968.239, 'src': 'embed', 'start': 4930.002, 'weight': 3, 'content': [{'end': 4932.184, 'text': "let's run it.", 'start': 4930.002, 'duration': 2.182}, {'end': 4936.147, 'text': 'you get the same thing all right.', 'start': 4932.184, 'duration': 3.963}, {'end': 4942.212, 'text': "now, moving ahead, let's explore how string data types work in python.", 'start': 4936.147, 'duration': 6.065}, {'end': 4945.42, 'text': "I'll give a comment.", 'start': 4943.658, 'duration': 1.762}, {'end': 4951.465, 'text': 'as string data types scroll down.', 'start': 4945.42, 'duration': 6.045}, {'end': 4959.792, 'text': 'okay, so string data types or string values in Python are passed within quotations.', 'start': 4951.465, 'duration': 8.327}, {'end': 4964.336, 'text': 'suppose I have a string called str1 and it has a value.', 'start': 4959.792, 'duration': 4.544}, {'end': 4967.098, 'text': "let's say Python programming.", 'start': 4964.336, 'duration': 2.762}, {'end': 4968.239, 'text': 'so this is a text value.', 'start': 4967.098, 'duration': 1.141}], 'summary': "Exploring string data types in python, 'python programming' is a text value.", 'duration': 38.237, 'max_score': 4930.002, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw4930002.jpg'}, {'end': 5768.94, 'src': 'embed', 'start': 5736.621, 'weight': 0, 'content': [{'end': 5739.123, 'text': 'Suppose I were to perform an AND operation.', 'start': 5736.621, 'duration': 2.502}, {'end': 5747.432, 'text': "I'll write set 1 ampersand set 2.", 'start': 5740.43, 'duration': 7.002}, {'end': 5758.556, 'text': 'if I run this, you can see here it has only printed the unique values that are present in both set 1 and set 2.', 'start': 5747.432, 'duration': 11.124}, {'end': 5763.418, 'text': 'so 3 and 4 are the unique values and hence it has printed 3 and 4.', 'start': 5758.556, 'duration': 4.862}, {'end': 5768.22, 'text': "let's say I'll write set 1 minus set 2.", 'start': 5763.418, 'duration': 4.802}, {'end': 5768.94, 'text': "let's see the results.", 'start': 5768.22, 'duration': 0.72}], 'summary': 'Demonstrated and and minus operations on sets, resulting in unique values in both sets and the difference between sets.', 'duration': 32.319, 'max_score': 5736.621, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw5736621.jpg'}, {'end': 5849.371, 'src': 'embed', 'start': 5808.214, 'weight': 2, 'content': [{'end': 5809.775, 'text': 'so range is basically a function.', 'start': 5808.214, 'duration': 1.561}, {'end': 5824.425, 'text': "if i write x equal to range 4 and i'll print x, it gives us from 0 till 4, because in python the first index starts from 0 and goes till 4,", 'start': 5809.775, 'duration': 14.65}, {'end': 5828.706, 'text': 'so the range is from 0 to 4..', 'start': 5824.425, 'duration': 4.281}, {'end': 5832.727, 'text': 'now you can also print the type of x.', 'start': 5828.706, 'duration': 4.021}, {'end': 5837.048, 'text': 'it returns us a range.', 'start': 5832.727, 'duration': 4.321}, {'end': 5845.05, 'text': "now we'll see some binary data types.", 'start': 5837.048, 'duration': 8.002}, {'end': 5849.371, 'text': 'binary data types are not very often used in python, but it is better.', 'start': 5845.05, 'duration': 4.321}], 'summary': "In python, 'range' function returns values from 0 to 4. binary data types are less used.", 'duration': 41.157, 'max_score': 5808.214, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw5808214.jpg'}], 'start': 2793.489, 'title': 'Python variables and data types', 'summary': "Explains python's variable assignment, object references, naming conventions, data types, and operations, covering rules, examples, and demonstrations. it also explores the conversion of integer to float and the properties of various data types.", 'chapters': [{'end': 2875.115, 'start': 2793.489, 'title': 'Python variable assignment and object references', 'summary': "Explains python's ability to assign values to multiple variables in one line and discusses object references in python, illustrating how variables act as references or pointers to objects and how the same object can be referenced by multiple variables.", 'duration': 81.626, 'highlights': ['Python allows assigning values to multiple variables in one line, e.g., assigning XYZ to Audi, BMW, and Mercedes simultaneously.', 'Python variables act as references or pointers to objects, enabling the reference of an object by its assigned name.', "Variables in Python can point to the same object, as illustrated by the example where both 'a' and 'B' point to the object with a value of 50."]}, {'end': 3981.655, 'start': 2875.115, 'title': 'Python variables overview', 'summary': 'Covers the creation of python variables, including rules for variable naming, data types, and operations, with examples and demonstrations. it also highlights the significance of case sensitivity and the restriction of using python keywords as variable names.', 'duration': 1106.54, 'highlights': ['The chapter covers the creation of Python variables, including rules for variable naming, data types, and operations, with examples and demonstrations. The transcript provides an overview of Python variable creation, covering rules for variable naming, data types, and operations with examples and demonstrations.', 'It also highlights the significance of case sensitivity and the restriction of using Python keywords as variable names. The significance of case sensitivity in variable names is emphasized, along with the restriction of using Python keywords as variable names.', 'The ID function in Python returns a unique ID for the specified object, and every time the ID function will return a unique ID for the specified object. The ID function in Python returns a unique ID for the specified object, and it is noted that every time the ID function will return a unique ID for the specified object.', 'Rules for variable naming, including starting with a letter or underscore, not starting with a number, and containing only alphanumeric characters or underscores, are explained with examples. The rules for variable naming, including starting with a letter or underscore, not starting with a number, and containing only alphanumeric characters or underscores, are explained with examples.', 'Basic operations on Python variables, such as addition, subtraction, division, and string extraction, are demonstrated with examples and their results. Basic operations on Python variables, including addition, subtraction, division, and string extraction, are demonstrated with examples and their results.']}, {'end': 4812.581, 'start': 3983.959, 'title': 'Python variable naming and data types', 'summary': 'Covers the different variable naming conventions - camel case, pascal case, and snake case, along with rules for naming variables and an overview of python data types including numeric types, text type, sequence types, mapping data types, boolean data types, and binary types. it also delves into type conversion functions for data types like int, float, and str.', 'duration': 828.622, 'highlights': ['The chapter covers the different variable naming conventions - camel case, Pascal case, and snake case. It explains the examples of camel case, Pascal case, and snake case, demonstrating how to write multi-word variables in Python.', 'It provides an overview of Python data types including numeric types, text type, sequence types, mapping data types, Boolean data types, and binary types. It explains various Python data types, such as integers, floating point numbers, complex numbers, strings, lists, tuples, dictionaries, sets, Boolean, bytes, byte array, and memory view.', 'The chapter also delves into type conversion functions for data types like int, float, and str. It demonstrates type conversion functions for converting data types, showcasing examples of converting between float and integer data types.']}, {'end': 5883.733, 'start': 4812.581, 'title': 'Python data types & operations', 'summary': 'Covered the conversion of integer to float and the exploration of boolean, string, list, tuple, dictionary, set, range, and binary data types in python, with examples illustrating their properties and operations.', 'duration': 1071.152, 'highlights': ['The chapter covered the conversion of integer to float and the exploration of boolean, string, list, tuple, dictionary, set, range, and binary data types in Python. It provides an overview of the different data types and sets the stage for the subsequent detailed exploration.', 'The examples illustrated the properties and operations of the data types, including type conversion, indexing, slicing, inbuilt functions, concatenation, basic operations, and set operations. The examples demonstrated type conversion, indexing, slicing, inbuilt functions, concatenation, basic operations, and set operations for the different data types.', 'The examples provided clear explanations and demonstrations of the concepts, aiding in understanding the practical application of data types in Python. The examples provided clear explanations and demonstrations of the concepts, aiding in understanding the practical application of data types in Python.']}], 'duration': 3090.244, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw2793489.jpg', 'highlights': ['Python variables act as references or pointers to objects, enabling the reference of an object by its assigned name.', 'Python allows assigning values to multiple variables in one line, e.g., assigning XYZ to Audi, BMW, and Mercedes simultaneously.', 'The chapter covers the different variable naming conventions - camel case, Pascal case, and snake case. It explains the examples of camel case, Pascal case, and snake case, demonstrating how to write multi-word variables in Python.', 'The chapter also delves into type conversion functions for data types like int, float, and str. It demonstrates type conversion functions for converting data types, showcasing examples of converting between float and integer data types.', 'The examples illustrated the properties and operations of the data types, including type conversion, indexing, slicing, inbuilt functions, concatenation, basic operations, and set operations.']}, {'end': 6952.329, 'segs': [{'end': 6210.622, 'src': 'embed', 'start': 6183.479, 'weight': 6, 'content': [{'end': 6188.163, 'text': 'We also saw how you can use slicing to extract a range of values from your string.', 'start': 6183.479, 'duration': 4.684}, {'end': 6193.568, 'text': 'We used the find function to find the index of a particular character in the string.', 'start': 6188.844, 'duration': 4.724}, {'end': 6199.012, 'text': 'Then we learned the important sequence data types like list.', 'start': 6194.568, 'duration': 4.444}, {'end': 6201.935, 'text': 'Then we had tuples.', 'start': 6199.953, 'duration': 1.982}, {'end': 6207.399, 'text': 'And then we learned about mapping data types such as dictionary.', 'start': 6203.816, 'duration': 3.583}, {'end': 6210.622, 'text': 'We also looked at set data type.', 'start': 6208.8, 'duration': 1.822}], 'summary': 'Covered slicing, find function, lists, tuples, dictionary, and set data types.', 'duration': 27.143, 'max_score': 6183.479, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw6183479.jpg'}, {'end': 6306.519, 'src': 'embed', 'start': 6275.421, 'weight': 0, 'content': [{'end': 6278.563, 'text': 'Now we will touch upon most of them in the demo section of this tutorial.', 'start': 6275.421, 'duration': 3.142}, {'end': 6281.405, 'text': 'Then we also have implemented related types.', 'start': 6278.963, 'duration': 2.442}, {'end': 6282.706, 'text': 'All right.', 'start': 6282.405, 'duration': 0.301}, {'end': 6288.389, 'text': "Now let's see how you can convert one data type to another using type conversion.", 'start': 6284.187, 'duration': 4.202}, {'end': 6292.332, 'text': 'So Python provides two types of data conversion techniques.', 'start': 6289.17, 'duration': 3.162}, {'end': 6298.436, 'text': 'One is called the implicit type conversion and the other is called the explicit type conversion.', 'start': 6292.792, 'duration': 5.644}, {'end': 6306.519, 'text': 'Now, in implicit data type conversion, Python can automatically convert one data type to another data type.', 'start': 6299.096, 'duration': 7.423}], 'summary': 'Python tutorial covers implicit and explicit type conversion.', 'duration': 31.098, 'max_score': 6275.421, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw6275421.jpg'}, {'end': 6475.253, 'src': 'embed', 'start': 6438.311, 'weight': 3, 'content': [{'end': 6447.334, 'text': '2.0 is of type float and again 2.0 or 2.0 is a number object.', 'start': 6438.311, 'duration': 9.023}, {'end': 6450.994, 'text': 'now you can perform various operations on number objects.', 'start': 6447.334, 'duration': 3.66}, {'end': 6454.115, 'text': 'suppose you want to add a few numbers.', 'start': 6450.994, 'duration': 3.121}, {'end': 6465.891, 'text': "so let's say 321 plus 365, and i'll say add, it gives us the addition of these two numbers, which is 686.", 'start': 6454.115, 'duration': 11.776}, {'end': 6473.393, 'text': "now let's say you want to perform a multiplication operation.", 'start': 6465.891, 'duration': 7.502}, {'end': 6475.253, 'text': "let's say 62 multiplied by 2.5.", 'start': 6473.393, 'duration': 1.86}], 'summary': 'Introduction to performing operations on number objects, including addition and multiplication with specific examples and results.', 'duration': 36.942, 'max_score': 6438.311, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw6438311.jpg'}, {'end': 6816.76, 'src': 'embed', 'start': 6785.922, 'weight': 4, 'content': [{'end': 6791.706, 'text': 'now, if you want to find the length of l1, you can use the len function.', 'start': 6785.922, 'duration': 5.784}, {'end': 6797.77, 'text': 'if i run it, you get 3, which means there are 3 elements in the list 101, america and 2.05.', 'start': 6791.706, 'duration': 6.064}, {'end': 6806.016, 'text': 'now, if you want to extract certain values from the list, for that you can use the indexing method.', 'start': 6797.77, 'duration': 8.246}, {'end': 6811.438, 'text': "let's say i'll write L1 of 1.", 'start': 6806.016, 'duration': 5.422}, {'end': 6816.76, 'text': 'that gives me America, because at index position 1 we have America.', 'start': 6811.438, 'duration': 5.322}], 'summary': 'Using len function to find length of list l1 (3 elements); extracting values via indexing.', 'duration': 30.838, 'max_score': 6785.922, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw6785922.jpg'}, {'end': 6921.017, 'src': 'embed', 'start': 6883.604, 'weight': 5, 'content': [{'end': 6889.567, 'text': 'cool, now you can also use the pop function in Python.', 'start': 6883.604, 'duration': 5.963}, {'end': 6891.207, 'text': "let's see what it does.", 'start': 6889.567, 'duration': 1.64}, {'end': 6895.68, 'text': "so I write l1.pop and I'll give, let's say, 3.", 'start': 6891.207, 'duration': 4.473}, {'end': 6902.605, 'text': 'If I run it, it returns me USA, because USA is present at the third index of my list.', 'start': 6895.68, 'duration': 6.925}, {'end': 6910.41, 'text': 'If I write pop1, it gives me America because America is present at the first index.', 'start': 6903.485, 'duration': 6.925}, {'end': 6915.994, 'text': 'Alright, now you can also reverse the elements in a list.', 'start': 6912.211, 'duration': 3.783}, {'end': 6921.017, 'text': 'If I write l1.reverse function.', 'start': 6916.254, 'duration': 4.763}], 'summary': 'Using pop function with python list to remove elements by index, and reversing list elements.', 'duration': 37.413, 'max_score': 6883.604, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw6883604.jpg'}], 'start': 5883.733, 'title': 'Python data types and conversions', 'summary': 'Covers python data types including numeric, string, sequence, mapping, range, binary, and object types, and explains type conversion techniques, with examples and demonstrations.', 'chapters': [{'end': 6156.718, 'start': 5883.733, 'title': 'Python data types and conversions', 'summary': 'Explains how to extract specific values from binary data using indexing, converting strings to lists and sets, and covers different numeric data types in python, with examples and demonstrations.', 'duration': 272.985, 'highlights': ['The process of extracting specific values from binary data using indexing is demonstrated, showcasing the retrieval of values at specific indices and their corresponding ASCII values. The demonstration includes extracting values at specific indices from binary data and showcasing the retrieval of their corresponding ASCII values, such as 111 and 108.', 'The conversion of a string to a list using the list function is showcased, highlighting the transformation of the string into a list with square brackets. The process of converting a string to a list using the list function is demonstrated, showcasing the transformation of the string into a list with square brackets.', 'The conversion of a list to a set is demonstrated, emphasizing the removal of duplicate elements and the resulting type being a set. The demonstration includes converting a list to a set, showcasing the removal of duplicate elements and the resulting type being a set.', 'The chapter covers different numeric data types in Python, including integer, floating, and complex data types, with demonstrations on extracting real and imaginary parts from a complex number. The chapter includes coverage of different numeric data types in Python, such as integer, floating, and complex data types, along with demonstrations on extracting real and imaginary parts from a complex number.']}, {'end': 6952.329, 'start': 6156.718, 'title': 'Python data types and type conversion', 'summary': 'Covers the different data types such as numeric, string, sequence, mapping, range, binary, and object types in python, along with type conversion techniques including implicit and explicit conversions, and demonstrates operations and methods for each data type.', 'duration': 795.611, 'highlights': ['The chapter covers the different data types such as numeric, string, sequence, mapping, range, binary, and object types in Python It encompasses a wide range of data types including numeric, string, sequence (list, tuple), mapping (dictionary), range, binary, and object types, providing a comprehensive overview of Python data types.', 'Type conversion techniques including implicit and explicit conversions are discussed The chapter explains both implicit and explicit type conversion techniques, highlighting the automatic conversion in implicit type conversion and the usage of predefined functions for explicit conversion.', 'Demonstrates operations and methods for each data type It demonstrates various operations and methods for different data types such as numeric operations like addition, multiplication, and exponentiation, importing and using math and random libraries, string operations like indexing, concatenation, and replacement, and list operations including length determination, extraction, appending, popping, and reversing.']}], 'duration': 1068.596, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw5883733.jpg', 'highlights': ['The chapter covers different numeric data types in Python, including integer, floating, and complex data types, with demonstrations on extracting real and imaginary parts from a complex number.', 'The chapter covers the different data types such as numeric, string, sequence, mapping, range, binary, and object types in Python, providing a comprehensive overview of Python data types.', 'Demonstrates operations and methods for each data type, including numeric operations like addition, multiplication, and exponentiation, importing and using math and random libraries, string operations like indexing, concatenation, and replacement, and list operations including length determination, extraction, appending, popping, and reversing.', 'The process of extracting specific values from binary data using indexing is demonstrated, showcasing the retrieval of values at specific indices and their corresponding ASCII values.', 'The conversion of a string to a list using the list function is showcased, highlighting the transformation of the string into a list with square brackets.', 'The conversion of a list to a set is demonstrated, emphasizing the removal of duplicate elements and the resulting type being a set.', 'Type conversion techniques including implicit and explicit conversions are discussed, explaining both implicit and explicit type conversion techniques.']}, {'end': 9201.323, 'segs': [{'end': 7471.762, 'src': 'embed', 'start': 7441.304, 'weight': 1, 'content': [{'end': 7447.448, 'text': 'so this will give me only the common element that is present in both the sets.', 'start': 7441.304, 'duration': 6.144}, {'end': 7452.991, 'text': 'so if you see here in India and in U, S and A, only A is repeating in both the sets.', 'start': 7447.448, 'duration': 5.543}, {'end': 7455.433, 'text': 'so it gives me A.', 'start': 7452.991, 'duration': 2.442}, {'end': 7461.254, 'text': "suppose I write S is the OR operator and I'll write S1..", 'start': 7455.433, 'duration': 5.821}, {'end': 7471.762, 'text': 'If I run it, it gives me all the elements that are present inside set S and S1 excluding the repeating elements.', 'start': 7461.414, 'duration': 10.348}], 'summary': "Using set operations, common elements are identified, such as 'a' in india and usa.", 'duration': 30.458, 'max_score': 7441.304, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw7441304.jpg'}, {'end': 8752.755, 'src': 'embed', 'start': 8707.049, 'weight': 0, 'content': [{'end': 8708.19, 'text': 'For that we will move.', 'start': 8707.049, 'duration': 1.141}, {'end': 8715.493, 'text': 'There are mainly two types of conversions between numbers in Python.', 'start': 8711.891, 'duration': 3.602}, {'end': 8726.678, 'text': 'First is using arithmetic operations that is implicit type conversion and second is using built-in functions that is explicit type conversion.', 'start': 8716.013, 'duration': 10.665}, {'end': 8731.6, 'text': "Let's understand the concept of conversion with the help of Jupyter Notebook.", 'start': 8727.978, 'duration': 3.622}, {'end': 8735.644, 'text': 'So here we will write first conversions.', 'start': 8732.702, 'duration': 2.942}, {'end': 8752.755, 'text': 'First we will assign a number to a variable that would be a equal to 196 and we have seen in the previous examples that its type is int.', 'start': 8741.568, 'duration': 11.187}], 'summary': 'Python has two types of number conversions: implicit using arithmetic operations and explicit using built-in functions.', 'duration': 45.706, 'max_score': 8707.049, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw8707049.jpg'}, {'end': 8817.973, 'src': 'embed', 'start': 8776.697, 'weight': 4, 'content': [{'end': 8783.859, 'text': 'and to get this number as an int we just have to use explicit type conversion.', 'start': 8776.697, 'duration': 7.162}, {'end': 8794.13, 'text': 'for that we will write B equal to int A, and now we will check its type.', 'start': 8783.859, 'duration': 10.271}, {'end': 8804.342, 'text': 'Type B and run the command we will get int as the data type for the B variable.', 'start': 8795.251, 'duration': 9.091}, {'end': 8817.973, 'text': 'the a variable is still the string data type and b variable has now turned as int data type and now to turn a as a float data type.', 'start': 8805.367, 'duration': 12.606}], 'summary': 'Convert a from string to int, resulting in b being int type.', 'duration': 41.276, 'max_score': 8776.697, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw8776697.jpg'}, {'end': 8944.87, 'src': 'embed', 'start': 8913.783, 'weight': 2, 'content': [{'end': 8928.162, 'text': 'one of the method is we just have to write print complex and in round brackets we just have to assign both real and the imaginary numbers that would be 3,', 'start': 8913.783, 'duration': 14.379}, {'end': 8935.031, 'text': '6 and just execute the command and here we got our complex number, that is 3 plus 6j.', 'start': 8928.162, 'duration': 6.869}, {'end': 8939.61, 'text': 'Now we have seen the explicit type convergence.', 'start': 8936.849, 'duration': 2.761}, {'end': 8944.87, 'text': 'Now we will see some implicit type convergence that is using arithmetic operations.', 'start': 8940.57, 'duration': 4.3}], 'summary': 'Demonstrated creating a complex number (3+6j) using python, and discussed explicit and implicit type convergence.', 'duration': 31.087, 'max_score': 8913.783, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw8913783.jpg'}], 'start': 6952.329, 'title': 'Python data types & numeric operations', 'summary': 'Covers manipulation of lists, dictionaries, tuples, file handling, file objects, sets, type conversion operations, number data types, and numeric operations in python, including examples and explanations.', 'chapters': [{'end': 7266.647, 'start': 6952.329, 'title': 'Python data types & file handling', 'summary': 'Covers the manipulation of lists, dictionaries, tuples, and file handling in python, including operations such as appending, reversing, adding elements, and creating files with specific content and location.', 'duration': 314.318, 'highlights': ["Creating and manipulating dictionaries, including adding elements and accessing keys and values, with an example of adding a new element 'cat' to the dictionary.", 'Exploring tuple objects, including adding elements to a tuple, determining its length, and using indexing and slicing to extract values.', 'Demonstrating file handling in Python, showcasing the creation of a text file in a specific location using the Jupyter notebook and the open function.']}, {'end': 7471.762, 'start': 7266.647, 'title': 'Working with file objects and sets in python', 'summary': 'Covers working with file objects and sets in python, including creating and writing to a text file, as well as performing operations on sets to retrieve unique and common elements.', 'duration': 205.115, 'highlights': ['Creating and writing to a text file in Python The chapter demonstrates creating a text file in write mode and writing data to it, resulting in the creation of a text file with the specified content.', 'Understanding how set function works in Python The chapter explains the functionality of the set function in Python, including its ability to return unique values and perform operations to retrieve common or exclusive elements from sets.', 'Performing operations on sets to retrieve unique and common elements The chapter covers performing operations like intersection and union on sets to obtain unique and common elements, demonstrating the functionality of sets in Python.']}, {'end': 8097.642, 'start': 7471.962, 'title': 'Python type conversion operations', 'summary': 'Covers various type conversion operations in python, including implicit and explicit type conversions, examples of string and integer addition, and conversion of data types such as float, complex, string, tuple, and list.', 'duration': 625.68, 'highlights': ['Python performs implicit type conversion when adding an integer with a floating point number, resulting in a floating point number; explicit conversion can be achieved using functions like int() and float(). Python performs implicit type conversion when adding an integer with a floating point number, resulting in a floating point number; explicit conversion can be achieved using functions like int() and float().', 'Demonstrates the process of converting a string to an integer using the int() function, resolving the issue of adding a string with an integer and resulting in a numeric value. Demonstrates the process of converting a string to an integer using the int() function, resolving the issue of adding a string with an integer and resulting in a numeric value.', 'Illustrates the conversion of a floating number into an integer using the int() function, truncating the decimal point value. Illustrates the conversion of a floating number into an integer using the int() function, truncating the decimal point value.', 'Shows how to convert an integer to a floating point value using the float() function, resulting in a floating point number. Shows how to convert an integer to a floating point value using the float() function, resulting in a floating point number.', 'Demonstrates the process of converting an integer to a complex number using the complex() function, resulting in a complex number with real and imaginary parts. Demonstrates the process of converting an integer to a complex number using the complex() function, resulting in a complex number with real and imaginary parts.', 'Explains the conversion of an integer to a string using the str() function, resulting in the integer value represented as a string. Explains the conversion of an integer to a string using the str() function, resulting in the integer value represented as a string.', 'Illustrates the conversion of a string to a tuple using the tuple() function, demonstrating the transformation of individual elements of the string into a tuple. Illustrates the conversion of a string to a tuple using the tuple() function, demonstrating the transformation of individual elements of the string into a tuple.', 'Shows the process of converting a string to a list using the list() function, resulting in the string being transformed into a list of individual elements. Shows the process of converting a string to a list using the list() function, resulting in the string being transformed into a list of individual elements.', 'Demonstrates the conversion of a tuple to a list using the list() function, resulting in the transformation of the tuple into a list. Demonstrates the conversion of a tuple to a list using the list() function, resulting in the transformation of the tuple into a list.', 'Illustrates the conversion of an integer to binary and octadecimal values using the bin() and oct() functions, respectively. Illustrates the conversion of an integer to binary and octadecimal values using the bin() and oct() functions, respectively.']}, {'end': 8286.26, 'start': 8097.642, 'title': 'Python number data types & conversions', 'summary': 'Explores python number data types, conversions, and representations including binary, hexadecimal, octal, ascii, and unicode values with examples and explanations.', 'duration': 188.618, 'highlights': ["The Unicode standard provides a unique number for every character and supports multiple languages and all special characters, for example, 'A' has a Unicode value of 65 and '7' has a Unicode value of 55.", "Demonstration of converting a number to its corresponding ASCII character using the CHR function, such as 76 corresponding to 'l' and 100 corresponding to 'd'.", 'Explanation of representing binary, hexadecimal, and octal numbers in Python, followed by learning different number data types and type conversion between them.']}, {'end': 9201.323, 'start': 8288.32, 'title': 'Python numeric data types & operations', 'summary': 'Discusses python numeric data types including int, float, and complex, and explores arithmetic operations, type conversions, and representation of binary, hexadecimal, and octal numbers. it also covers operations with fractions using the fraction module.', 'duration': 913.003, 'highlights': ['The chapter discusses Python numeric data types including int, float, and complex. Python has three numeric types: int for integers, float for decimal numbers, and complex for complex numbers.', "Arithmetic operations for addition, subtraction, multiplication, and division are demonstrated with int and float data types. The chapter demonstrates addition, subtraction, multiplication, and division operations with int and float data types, where division results in a float due to Python's output preference for decimal numbers.", 'Type conversions between numbers in Python are explained, including implicit and explicit type conversions. The chapter explains type conversions using arithmetic operations (implicit type conversion) and built-in functions (explicit type conversion) to convert between int, float, and string data types.', 'The representation of binary, hexadecimal, and octal numbers in Python is exemplified. The chapter exemplifies the representation of binary, hexadecimal, and octal numbers in Python using prefix notations such as 0b for binary, 0o for octal, and 0x for hexadecimal.', 'Operations with fractions using the fraction module are demonstrated, including addition and finding the reciprocal. The chapter demonstrates operations with fractions using the fraction module, including addition and finding the reciprocal of fractions.']}], 'duration': 2248.994, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw6952329.jpg', 'highlights': ['Covers manipulation of lists, dictionaries, tuples, file handling, file objects, sets, type conversion operations, number data types, and numeric operations in python, including examples and explanations.', 'Demonstrates the process of converting a string to an integer using the int() function, resolving the issue of adding a string with an integer and resulting in a numeric value.', 'Explains type conversions using arithmetic operations (implicit type conversion) and built-in functions (explicit type conversion) to convert between int, float, and string data types.', "The chapter demonstrates addition, subtraction, multiplication, and division operations with int and float data types, where division results in a float due to Python's output preference for decimal numbers.", 'Illustrates the representation of binary, hexadecimal, and octal numbers in Python using prefix notations such as 0b for binary, 0o for octal, and 0x for hexadecimal.']}, {'end': 10528.103, 'segs': [{'end': 9395.888, 'src': 'embed', 'start': 9316.989, 'weight': 0, 'content': [{'end': 9318.751, 'text': 'We can also perform log operations.', 'start': 9316.989, 'duration': 1.762}, {'end': 9333.914, 'text': 'for that we will write the command print and we will get the log of 1000 to the base of 10.', 'start': 9325.669, 'duration': 8.245}, {'end': 9343.159, 'text': 'for that we will write math.log to the base 10.', 'start': 9333.914, 'duration': 9.245}, {'end': 9348.643, 'text': 'the value would be 1000 and we will execute the command and we will get 3.0.', 'start': 9343.159, 'duration': 5.484}, {'end': 9352.545, 'text': 'you can also get the factorial by the math module.', 'start': 9348.643, 'duration': 3.902}, {'end': 9374.258, 'text': "We'll write print math dot, factorial factorial of 6 and we'll execute the command and we quote the factorial of 6, that is 720..", 'start': 9354.738, 'duration': 19.52}, {'end': 9376.48, 'text': 'Now, if we want the square root of a number,', 'start': 9374.258, 'duration': 2.222}, {'end': 9387.836, 'text': "we'll write the command print math.sqrt and in round brackets we will write the number for which we need the square root.", 'start': 9376.48, 'duration': 11.356}, {'end': 9395.888, 'text': 'We will write 25 and execute the command and we will get 5.0.', 'start': 9388.677, 'duration': 7.211}], 'summary': 'Performing math operations: log(1000,10)=3.0, factorial(6)=720, sqrt(25)=5.0', 'duration': 78.899, 'max_score': 9316.989, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw9316989.jpg'}, {'end': 9891.863, 'src': 'embed', 'start': 9866.944, 'weight': 5, 'content': [{'end': 9876.291, 'text': 'so here we have a string which is healthy and the first element is present at the 0th index.', 'start': 9866.944, 'duration': 9.347}, {'end': 9878.453, 'text': 'so at the bottom you see the forward index.', 'start': 9876.291, 'duration': 2.162}, {'end': 9882.035, 'text': 'on the top you have the reverse index or the negative indexes.', 'start': 9878.453, 'duration': 3.582}, {'end': 9886.158, 'text': 'so in Python, as I said, the first index is at the 0th position.', 'start': 9882.035, 'duration': 4.123}, {'end': 9891.863, 'text': 'so H is at 0, E is at the first index, A is at the second index, so on and so forth.', 'start': 9886.158, 'duration': 5.705}], 'summary': "In python, the string 'healthy' has elements at specific indexes, starting from 0.", 'duration': 24.919, 'max_score': 9866.944, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw9866944.jpg'}], 'start': 9201.323, 'title': 'Python math and string functions', 'summary': 'Explores various number functions in the math module and covers python math functions and trigonometry, along with the usage of random number functions and string basics, providing examples and explanations.', 'chapters': [{'end': 9424.782, 'start': 9201.323, 'title': 'Number functions in math module', 'summary': 'Explores various number functions in the math module including absolute, pi, exponential, logarithm, factorial, square root, and finding the maximum value, providing examples and quantifiable data.', 'duration': 223.459, 'highlights': ['The chapter demonstrates the use of the absolute function to turn a negative number, -9.8, into its positive counterpart, 9.8.', 'It showcases the retrieval of the value of pi from the math module, which is 3.141592653589793.', 'The transcript illustrates the retrieval of the value of e from the math module, which is 2.718281828459045.', 'It presents the use of the exponential function to find the value of e raised to the power of 10, resulting in 22026.465.', 'The chapter provides an example of finding the logarithm of 1000 to the base 10, resulting in 3.0.', 'It demonstrates the retrieval of the factorial of 6 from the math module, which is 720.', 'The transcript illustrates the use of the square root function to find the square root of 25, resulting in 5.0.', 'It showcases the use of the max function to find the maximum value from a set of numbers, resulting in 99.']}, {'end': 9675.027, 'start': 9424.782, 'title': 'Python math functions and trigonometry', 'summary': 'Covers the usage of python math functions including min, ceiling, floor, power, cosine, and tangent with examples, showcasing their outputs and explanations.', 'duration': 250.245, 'highlights': ['The power function, demonstrated with an example of 2 raised to the power of 6, resulting in the output value of 64.', 'The explanation and demonstration of the ceiling function, which returns the highest value for the input number, showcased with an example.', 'The demonstration of the floor function, exemplified by using an input number and showcasing its output value just below or the lowest value of the input.', 'Demonstration and explanation of the cosine function, including examples of the output values for cos(0) and cos(pi).', 'Demonstration and explanation of the tangent function, illustrated with examples for tan(0) and tan(pi/4), showcasing the output values and their significance.']}, {'end': 9891.863, 'start': 9675.027, 'title': 'Python string functions', 'summary': 'Covers the usage of random number functions in python, including the randrange and choice functions, as well as string creation, data types, and string indexing.', 'duration': 216.836, 'highlights': ['The randrange function in Python generates a random number within a specified range, such as 10 to 20, with an example output of 12.', 'The choice function in Python selects a random element from a provided list, string, or tuple, demonstrated with the output of 3 from the list [1, 2, 3, 4, 5].', 'Strings in Python can be created using single quotes, double quotes, or triple quotes, with examples provided for each method.', 'Python strings can be indexed using both forward and reverse indexing, starting from the 0th position.']}, {'end': 10098.82, 'start': 9892.963, 'title': 'Python strings basics', 'summary': 'Covers the basics of python strings, including indexing, creating and printing strings, and determining their data types, with examples and explanations.', 'duration': 205.857, 'highlights': ['The chapter covers the basics of Python strings, including indexing, creating and printing strings, and determining their data types, with examples and explanations.', 'The indexing in Python strings starts with 0 for the first character and goes in reverse order with -1 for the last character, with relevant examples provided.', 'Demonstration of creating and printing strings in Python using single quotes, double quotes, and triple quotes, with clear examples and outputs.', 'Explanation of using the type function to determine the data type of a string in Python, with a practical example provided.', 'Illustration of creating a multi-line string in Python using triple quotes, with a clear example and output.', 'Explanation of using indexing to extract specific items or values from a string in Python, demonstrated with a practical example.']}, {'end': 10528.103, 'start': 10098.82, 'title': 'String indexing and slicing in python', 'summary': 'Covers string indexing, slicing, and operations in python, including examples of extracting elements at specific indices and reversing strings using negative slicing.', 'duration': 429.283, 'highlights': ['The first index in a string starts with the 0th number, as demonstrated by accessing elements at specific indices. First index in a string starts with 0, accessing elements at specific indices.', 'Demonstration of using slicing technique to extract substrings from a string, including printing everything from the 0th index and extracting from the 1st to the 6th index, excluding the 6th index. Using slicing to extract substrings, printing from 0th index, extracting from 1st to 6th index excluding 6th index.', 'Illustration of reversing a string using negative slicing, printing the original string in reverse order. Reversing a string using negative slicing, printing original string in reverse order.']}], 'duration': 1326.78, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw9201323.jpg', 'highlights': ['The chapter provides an example of finding the logarithm of 1000 to the base 10, resulting in 3.0.', 'The chapter demonstrates the use of the absolute function to turn a negative number, -9.8, into its positive counterpart, 9.8.', 'The chapter covers the basics of Python strings, including indexing, creating and printing strings, and determining their data types, with examples and explanations.', 'The demonstration of the floor function, exemplified by using an input number and showcasing its output value just below or the lowest value of the input.', 'The power function, demonstrated with an example of 2 raised to the power of 6, resulting in the output value of 64.', 'The randrange function in Python generates a random number within a specified range, such as 10 to 20, with an example output of 12.', 'Demonstration and explanation of the cosine function, including examples of the output values for cos(0) and cos(pi).', 'Demonstration and explanation of the tangent function, illustrated with examples for tan(0) and tan(pi/4), showcasing the output values and their significance.', 'The explanation of using the type function to determine the data type of a string in Python, with a practical example provided.', 'Illustration of creating a multi-line string in Python using triple quotes, with a clear example and output.']}, {'end': 12355.531, 'segs': [{'end': 11016.259, 'src': 'embed', 'start': 10989.918, 'weight': 9, 'content': [{'end': 10999.345, 'text': 'so my first statement or the message becomes her name is Angela and the next message is her salary is %t.', 'start': 10989.918, 'duration': 9.427}, {'end': 11003.768, 'text': 'so %t here refers to the salary where we have 100,000.', 'start': 10999.345, 'duration': 4.423}, {'end': 11008.492, 'text': 'so the next message is her salary is 100,000.', 'start': 11003.769, 'duration': 4.723}, {'end': 11016.259, 'text': 'so these are the very basic and important print methods or formats that you can use while working with strings.', 'start': 11008.493, 'duration': 7.766}], 'summary': "Angela's salary is $100,000.", 'duration': 26.341, 'max_score': 10989.918, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw10989918.jpg'}, {'end': 11091.094, 'src': 'embed', 'start': 11052.667, 'weight': 11, 'content': [{'end': 11061.111, 'text': "I'm going to write everything in lower case so that we can see the difference, how we can capitalize the string.", 'start': 11052.667, 'duration': 8.444}, {'end': 11069.655, 'text': "so I'll write my print statement print old value.", 'start': 11061.111, 'duration': 8.544}, {'end': 11070.776, 'text': 'this is going to my message.', 'start': 11069.655, 'duration': 1.121}, {'end': 11077.279, 'text': "I'll give a colon, followed by my double quotes, and I'll pass in my variable str1.", 'start': 11070.776, 'duration': 6.503}, {'end': 11081.987, 'text': "Okay now, I'll copy this", 'start': 11079.525, 'duration': 2.462}, {'end': 11088.072, 'text': 'In the next line, we have a new value as str2.', 'start': 11083.668, 'duration': 4.404}, {'end': 11091.094, 'text': "Let's run it and see the difference.", 'start': 11089.533, 'duration': 1.561}], 'summary': 'Demonstrating string capitalization using python print statements with variables str1 and str2.', 'duration': 38.427, 'max_score': 11052.667, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw11052667.jpg'}, {'end': 11244.342, 'src': 'embed', 'start': 11211.48, 'weight': 12, 'content': [{'end': 11219.51, 'text': 'so suppose I have a string which is simply learn company.', 'start': 11211.48, 'duration': 8.03}, {'end': 11230.115, 'text': "so I'll write let's say, this is my string and I'll convert my str1 to title case.", 'start': 11219.51, 'duration': 10.605}, {'end': 11231.476, 'text': 'let me run it.', 'start': 11230.115, 'duration': 1.361}, {'end': 11232.476, 'text': 'so this is the difference.', 'start': 11231.476, 'duration': 1}, {'end': 11241.681, 'text': 'you can see, the first letter of the first word is uppercase, again the first letter of the second word is also in uppercase.', 'start': 11232.476, 'duration': 9.205}, {'end': 11244.342, 'text': 'so this is how the title case works.', 'start': 11241.681, 'duration': 2.661}], 'summary': "Converting 'learn company' to title case capitalizes first letters of each word.", 'duration': 32.862, 'max_score': 11211.48, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw11211480.jpg'}, {'end': 11331.53, 'src': 'embed', 'start': 11294.211, 'weight': 4, 'content': [{'end': 11296.013, 'text': 'n is present in my original string.', 'start': 11294.211, 'duration': 1.802}, {'end': 11301.878, 'text': 'so if you see here in Python programming we have n present twice.', 'start': 11296.013, 'duration': 5.865}, {'end': 11306.662, 'text': "similarly, let's check for g.", 'start': 11301.878, 'duration': 4.784}, {'end': 11311.005, 'text': 'the letter g is also present twice.', 'start': 11306.662, 'duration': 4.343}, {'end': 11312.227, 'text': "let's see for y.", 'start': 11311.005, 'duration': 1.222}, {'end': 11317.978, 'text': 'now y is present only once, which you can see here.', 'start': 11313.874, 'duration': 4.104}, {'end': 11331.53, 'text': "okay, next let's see how the replace function works in Python and giving a comment as replace.", 'start': 11317.978, 'duration': 13.552}], 'summary': 'The original string in python contains n twice, g twice, and y once. replace function in python is demonstrated.', 'duration': 37.319, 'max_score': 11294.211, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw11294211.jpg'}, {'end': 11591.138, 'src': 'embed', 'start': 11562.25, 'weight': 16, 'content': [{'end': 11568.155, 'text': 'Now for NOT, if an expression A is true, then NOT A will be false.', 'start': 11562.25, 'duration': 5.905}, {'end': 11572.219, 'text': 'We also have bitwise operators.', 'start': 11569.937, 'duration': 2.282}, {'end': 11577.083, 'text': 'So bitwise operators act on operands as if they were strings of binary digits.', 'start': 11572.439, 'duration': 4.644}, {'end': 11580.746, 'text': 'It acts on bits and performs bit by bit operation.', 'start': 11577.763, 'duration': 2.983}, {'end': 11582.928, 'text': 'So hence it is called bitwise operator.', 'start': 11581.066, 'duration': 1.862}, {'end': 11587.855, 'text': 'So here each value is evaluated as zeros and ones.', 'start': 11584.611, 'duration': 3.244}, {'end': 11591.138, 'text': 'Then we have identity operators.', 'start': 11589.296, 'duration': 1.842}], 'summary': 'Explanation of not, bitwise, and identity operators in binary digit manipulation.', 'duration': 28.888, 'max_score': 11562.25, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw11562250.jpg'}, {'end': 12064.205, 'src': 'embed', 'start': 12021.132, 'weight': 17, 'content': [{'end': 12024.353, 'text': "let's say 10 raised to the power of 3.", 'start': 12021.132, 'duration': 3.221}, {'end': 12027.374, 'text': 'we have 1000 as the result.', 'start': 12024.353, 'duration': 3.021}, {'end': 12029.015, 'text': 'okay, now, moving ahead.', 'start': 12027.374, 'duration': 1.641}, {'end': 12034.945, 'text': "Now we'll understand about comparison operators.", 'start': 12031.604, 'duration': 3.341}, {'end': 12041.568, 'text': "so I'll give a comment as comparison operators.", 'start': 12034.945, 'duration': 6.623}, {'end': 12049.171, 'text': "okay, let's say I have x equal to 7 and then I have y equal to 3.", 'start': 12041.568, 'duration': 7.603}, {'end': 12064.205, 'text': 'if I print x equal to equal to y, it will give me false, the reason being the value that x holds is not equal to the value present in y.', 'start': 12049.171, 'duration': 15.034}], 'summary': 'Using comparison operators, x==y evaluates to false with x=7 and y=3.', 'duration': 43.073, 'max_score': 12021.132, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw12021132.jpg'}, {'end': 12165.255, 'src': 'embed', 'start': 12130.912, 'weight': 0, 'content': [{'end': 12135.594, 'text': "this time we'll see if x is greater than equal to 3.", 'start': 12130.912, 'duration': 4.682}, {'end': 12146.826, 'text': "if I run it, it is true, because 7 is greater than equal to 3, and Now let's check for less than equal to.", 'start': 12135.594, 'duration': 11.232}, {'end': 12151.949, 'text': 'this is false, because seven is not less than equal to three.', 'start': 12146.826, 'duration': 5.123}, {'end': 12159.453, 'text': 'Okay, so these are some of the basic comparison operators that are available in Python.', 'start': 12154.47, 'duration': 4.983}, {'end': 12165.255, 'text': "Moving ahead, we'll see how logical operators work in Python.", 'start': 12160.833, 'duration': 4.422}], 'summary': "In python, 7 is greater than or equal to 3, demonstrating basic comparison operators. next, we'll explore logical operators.", 'duration': 34.343, 'max_score': 12130.912, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw12130912.jpg'}, {'end': 12315.33, 'src': 'embed', 'start': 12262.064, 'weight': 15, 'content': [{'end': 12267.587, 'text': 'that is true, but five is not less than 10..', 'start': 12262.064, 'duration': 5.523}, {'end': 12273.57, 'text': 'But since one of the conditions is true, so the OR operation in Python returns us true.', 'start': 12267.587, 'duration': 5.983}, {'end': 12299.056, 'text': "Now let's see another example i'll write x equal to 5 and y equal to 10 i'll print x greater than 10 or by less than 20.", 'start': 12276.232, 'duration': 22.824}, {'end': 12302.658, 'text': 'if i run this, it returns true.', 'start': 12299.056, 'duration': 3.602}, {'end': 12315.33, 'text': "so let's see our expression x greater than 10, that is 5 greater than 10 is false, but why less than 20?", 'start': 12302.658, 'duration': 12.672}], 'summary': "Python's or operation returns true if at least one condition is true, as seen in the example x=5, y=10.", 'duration': 53.266, 'max_score': 12262.064, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw12262064.jpg'}], 'start': 10529.363, 'title': 'Python string and operator manipulation', 'summary': 'Covers string operations, manipulation, and operators in python, including methods like string multiplication, concatenation, and in operator, as well as examples of print formats, capitalize, case fold, and various operators such as arithmetic, comparison, assignment, and logical operators, along with quantifiable data and outputs.', 'chapters': [{'end': 10989.918, 'start': 10529.363, 'title': 'String operations in python', 'summary': 'Covers string operations in python, including string multiplication, concatenation, and the usage of in operator for finding specific characters in a string, along with examples of raw string printing and string formatting methods.', 'duration': 460.555, 'highlights': ["Python performs string multiplication by using the * operator, demonstrated as str1 multiplied by 3 resulting in 'Python' printed thrice. String multiplication using * operator, Example of str1 multiplied by 3 resulting in 'Python' printed thrice", "The plus operator is used for string concatenation, illustrated by adding str1 to str1 and yielding 'PythonPython'. Usage of plus operator for string concatenation, Example of adding str1 to str1 resulting in 'PythonPython'", "Demonstrates the usage of the 'in' operator to check if a specific character is present in a string, with examples showcasing the presence of 'w' and 'o' in str1. Usage of 'in' operator for checking presence of specific character in a string, Examples of checking 'w' and 'o' in str1", "Illustrates the concept of raw string printing using the 'R' alphabet, showcased by printing a raw string 'c\ndrive' as 'c\ndrive'. Demonstration of raw string printing using 'R' alphabet, Example of printing 'c\ndrive' as 'c\ndrive'", 'Demonstrates string formatting methods, including the use of curly braces and the format method to replace placeholders with values, along with examples involving index-based replacement and variable substitution. Illustration of string formatting methods using curly braces and the format method, Examples of index-based replacement and variable substitution', 'Illustrates string formatting using placeholders (%s for string and %d for numbers), demonstrated by printing a message with the name and salary variables. Demonstration of string formatting using placeholders, Example of printing a message using %s and %d for name and salary variables']}, {'end': 11358.057, 'start': 10989.918, 'title': 'String manipulation in python', 'summary': 'Introduces basic print methods and formats for working with strings, demonstrates the usage of capitalize, case fold, upper, lower, and title methods, and illustrates the count and replace functions in python, providing examples and quantifiable data.', 'duration': 368.139, 'highlights': ['The chapter introduces basic print methods and formats for working with strings, such as printing a message with a variable and displaying the salary as 100,000. Salary: 100,000', 'Demonstrates the usage of capitalize, case fold, upper, lower, and title methods for string manipulation, with examples showcasing the conversion of case and title case. ', "Illustrates the count function to count the occurrences of specific letters in a string, showing the counts for letters 'n', 'g', and 'y' in the original string. Occurrences: n (2), g (2), y (1)", "Illustrates the replace function in Python with an example of replacing 'France' with 'Germany' in a given string, 'Hamburg is located in France'. Replaced: France with Germany"]}, {'end': 11561.37, 'start': 11358.518, 'title': 'Python string manipulation and operators', 'summary': 'Covers python string manipulation using methods like replace and split, as well as an overview of different types of operators including arithmetic, comparison, assignment, and logical operators.', 'duration': 202.852, 'highlights': ["The chapter explores Python string manipulation methods such as replace and split, showcasing an example where 'Hamburg is located in France' is transformed to 'Hamburg is located in Germany', providing a practical demonstration of the replace method.", 'It provides an overview of different types of operators in Python, including arithmetic, comparison, assignment, and logical operators, explaining their functions and providing examples to illustrate their usage.']}, {'end': 11865.183, 'start': 11562.25, 'title': 'Python operators overview', 'summary': 'Covers the overview of python operators including arithmetic, assignment, bitwise, identity, and membership operators. it also demonstrates the usage and results of different arithmetic operators such as addition, subtraction, multiplication, division, modulus, power, floor division.', 'duration': 302.933, 'highlights': ['The chapter covers the overview of Python operators including arithmetic, assignment, bitwise, identity, and membership operators. This sets the stage for the various types of operators that will be covered in the transcript.', 'It also demonstrates the usage and results of different arithmetic operators such as addition, subtraction, multiplication, division, modulus, power, floor division. Provides specific details about the coverage of arithmetic operators and their usage in the transcript.', 'It acts on bits and performs bit by bit operation. Explains the nature of bitwise operators and their functionality.', 'The left operand is raised to the power of the right, for example 10 raised to the power of 4 gives 10,000. Provides a specific example and result of the power operator, demonstrating its functionality.', 'Flow division results in a whole number adjusted to the left on the number line, for example, 10 flow division 4 gives 2. Explains the concept of floor division and provides an example to illustrate its result.']}, {'end': 12355.531, 'start': 11865.183, 'title': 'Python operators and logical operators', 'summary': 'Covers the usage of assignment operators like plus equal, minus equal, multiplication, and division, as well as comparison and logical operators in python, with examples and their corresponding outputs, like x plus equal to 3 resulting in x equal to 10, and x greater than 2 and y less than 10 resulting in false.', 'duration': 490.348, 'highlights': ['x plus equal to 3 results in x equal to 10 The example demonstrates the usage of plus equal operator in Python, where x plus equal to 3 adds 3 to the original value of x, resulting in x equal to 10.', 'x greater than 2 and y less than 10 results in false This example showcases the usage of logical AND operator in Python, where the expression returns false as one of the conditions, y less than 10, is false.', 'x greater than 3 or x less than 10 results in true Demonstrating the usage of logical OR operator, the expression returns true as one of the conditions, x greater than 3, is true.']}], 'duration': 1826.168, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw10529363.jpg', 'highlights': ["Python performs string multiplication using the * operator, demonstrated as str1 multiplied by 3 resulting in 'Python' printed thrice.", "The plus operator is used for string concatenation, illustrated by adding str1 to str1 and yielding 'PythonPython'.", "Demonstrates the usage of the 'in' operator to check if a specific character is present in a string, with examples showcasing the presence of 'w' and 'o' in str1.", 'Illustrates string formatting methods using curly braces and the format method, along with examples involving index-based replacement and variable substitution.', 'Illustrates string formatting using placeholders (%s for string and %d for numbers), demonstrated by printing a message with the name and salary variables.', 'Demonstrates the usage of capitalize, case fold, upper, lower, and title methods for string manipulation, with examples showcasing the conversion of case and title case.', "Illustrates the count function to count the occurrences of specific letters in a string, showing the counts for letters 'n', 'g', and 'y' in the original string.", "Illustrates the replace function in Python with an example of replacing 'France' with 'Germany' in a given string, 'Hamburg is located in France'.", "The chapter explores Python string manipulation methods such as replace and split, showcasing an example where 'Hamburg is located in France' is transformed to 'Hamburg is located in Germany'.", 'It provides an overview of different types of operators in Python, including arithmetic, comparison, assignment, and logical operators, explaining their functions and providing examples to illustrate their usage.', 'The chapter covers the overview of Python operators including arithmetic, assignment, bitwise, identity, and membership operators.', 'It also demonstrates the usage and results of different arithmetic operators such as addition, subtraction, multiplication, division, modulus, power, floor division.', 'It acts on bits and performs bit by bit operation.', 'The left operand is raised to the power of the right, for example 10 raised to the power of 4 gives 10,000.', 'Flow division results in a whole number adjusted to the left on the number line, for example, 10 flow division 4 gives 2.', 'The example demonstrates the usage of plus equal operator in Python, where x plus equal to 3 adds 3 to the original value of x, resulting in x equal to 10.', 'This example showcases the usage of logical AND operator in Python, where the expression returns false as one of the conditions, y less than 10, is false.', 'Demonstrating the usage of logical OR operator, the expression returns true as one of the conditions, x greater than 3, is true.']}, {'end': 13715.011, 'segs': [{'end': 12535.376, 'src': 'embed', 'start': 12494.019, 'weight': 4, 'content': [{'end': 12507.388, 'text': 'so this is a separate memory location in which y is holding the value of 505 and hence x is y is different and hence it is false.', 'start': 12494.019, 'duration': 13.369}, {'end': 12513.012, 'text': 'suppose i write x equal to 100 and i have y equal to 200.', 'start': 12507.388, 'duration': 5.624}, {'end': 12518.636, 'text': 'if i write x is not y.', 'start': 12513.012, 'duration': 5.624}, {'end': 12524.22, 'text': 'this gives us true the reason being x and y both are holding different values.', 'start': 12518.636, 'duration': 5.584}, {'end': 12525.4, 'text': 'so x is not.', 'start': 12524.22, 'duration': 1.18}, {'end': 12526.061, 'text': 'y is true.', 'start': 12525.4, 'duration': 0.661}, {'end': 12531.412, 'text': "Let's see another example.", 'start': 12530.191, 'duration': 1.221}, {'end': 12535.376, 'text': "This time we'll define two lists.", 'start': 12531.432, 'duration': 3.944}], 'summary': 'X holds 505, separate from y; x!=y is true when x=100, y=200.', 'duration': 41.357, 'max_score': 12494.019, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw12494019.jpg'}, {'end': 12616.825, 'src': 'embed', 'start': 12574.852, 'weight': 0, 'content': [{'end': 12588.176, 'text': 'if i run this, it gives us true, because we are assigning the variable a to c and hence the memory locations are the same for both,', 'start': 12574.852, 'duration': 13.324}, {'end': 12594.058, 'text': 'and hence a is c gives us true.', 'start': 12588.176, 'duration': 5.882}, {'end': 12598.859, 'text': 'what if i write a is b?', 'start': 12594.058, 'duration': 4.801}, {'end': 12600.24, 'text': 'now this gives us false.', 'start': 12598.859, 'duration': 1.381}, {'end': 12605.04, 'text': 'so here a and b are both less.', 'start': 12601.539, 'duration': 3.501}, {'end': 12607.341, 'text': 'they are equal but not identical.', 'start': 12605.04, 'duration': 2.301}, {'end': 12616.825, 'text': 'it is because the interpreter in python allocates them separately in memory, although they are equal.', 'start': 12607.341, 'duration': 9.484}], 'summary': 'In python, a is c gives true, a is b gives false, due to memory allocation.', 'duration': 41.973, 'max_score': 12574.852, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw12574852.jpg'}, {'end': 13185.915, 'src': 'embed', 'start': 13132.719, 'weight': 1, 'content': [{'end': 13139.323, 'text': 'For syntax, we can write list1.append and in round brackets, we have to write the element which we want to append.', 'start': 13132.719, 'duration': 6.604}, {'end': 13141.304, 'text': 'The next is insert.', 'start': 13140.243, 'duration': 1.061}, {'end': 13143.925, 'text': 'It adds an element at the specified position.', 'start': 13141.824, 'duration': 2.101}, {'end': 13147.467, 'text': 'Its syntax is name of the list.insert,', 'start': 13144.405, 'duration': 3.062}, {'end': 13154.951, 'text': 'and in round brackets we will write the index at which we want to insert the element and comma and after that the element which we want to insert.', 'start': 13147.467, 'duration': 7.484}, {'end': 13157.79, 'text': 'third is extend.', 'start': 13155.848, 'duration': 1.942}, {'end': 13161.793, 'text': 'it adds the element of a list to the end of the current list.', 'start': 13157.79, 'duration': 4.003}, {'end': 13170.8, 'text': 'its syntax is list1.extend and in round brackets we will add the element like list2, which we want to extend in the list.', 'start': 13161.793, 'duration': 9.007}, {'end': 13172.221, 'text': 'the next is index.', 'start': 13170.8, 'duration': 1.421}, {'end': 13182.67, 'text': 'it returns the index of the first element with the specified value, and its syntax is list1.index and the element which we want to fetch, the index.', 'start': 13172.221, 'duration': 10.449}, {'end': 13185.915, 'text': 'The next is remove.', 'start': 13185.114, 'duration': 0.801}], 'summary': 'Python list methods: append, insert, extend, index, remove.', 'duration': 53.196, 'max_score': 13132.719, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw13132719.jpg'}, {'end': 13321.781, 'src': 'embed', 'start': 13284.193, 'weight': 7, 'content': [{'end': 13299.24, 'text': 'we will write a list in square brackets 8, comma 4, comma 6 and comma the next element, that we will write orange, the next element, banana.', 'start': 13284.193, 'duration': 15.047}, {'end': 13311.031, 'text': 'Now print this list to print.', 'start': 13308.348, 'duration': 2.683}, {'end': 13315.915, 'text': 'this will write print down brackets, will write list to and then the command.', 'start': 13311.031, 'duration': 4.884}, {'end': 13318.377, 'text': 'here we will get the list to print it.', 'start': 13315.915, 'duration': 2.462}, {'end': 13321.781, 'text': 'We can access any element in the list.', 'start': 13319.579, 'duration': 2.202}], 'summary': 'List with 8, 4, 6, orange, banana is printed and accessed.', 'duration': 37.588, 'max_score': 13284.193, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw13284193.jpg'}, {'end': 13614.673, 'src': 'embed', 'start': 13582.802, 'weight': 3, 'content': [{'end': 13590.346, 'text': 'the list name you want to delete the element, and in square brackets you will write the index for the element you want to delete.', 'start': 13582.802, 'duration': 7.544}, {'end': 13593.208, 'text': 'We have written the fifth index value.', 'start': 13591.207, 'duration': 2.001}, {'end': 13597.411, 'text': "So we'll run this command and we'll get the list printed.", 'start': 13593.929, 'duration': 3.482}, {'end': 13607.649, 'text': 'We can see that the fifth index value that is watermelon is not there in list1.', 'start': 13602.386, 'duration': 5.263}, {'end': 13608.55, 'text': "It's been deleted.", 'start': 13607.829, 'duration': 0.721}, {'end': 13614.673, 'text': 'Now you can also do this with another method that is remove.', 'start': 13610.071, 'duration': 4.602}], 'summary': 'Deleting a list element using index in python.', 'duration': 31.871, 'max_score': 13582.802, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw13582802.jpg'}, {'end': 13715.011, 'src': 'embed', 'start': 13680.602, 'weight': 6, 'content': [{'end': 13686.945, 'text': 'now. so at the one index that was orange, that has been removed from the list.', 'start': 13680.602, 'duration': 6.343}, {'end': 13691.147, 'text': 'and now this is the new list.', 'start': 13686.945, 'duration': 4.202}, {'end': 13697.231, 'text': 'now we can see another method that is clear, that removes all the elements from the list.', 'start': 13691.147, 'duration': 6.084}, {'end': 13708.708, 'text': 'so this we will reply on the list to list two dot clear method and we will also write another command,', 'start': 13697.231, 'duration': 11.477}, {'end': 13712.77, 'text': 'that would be print list2 and execute this command.', 'start': 13708.708, 'duration': 4.062}, {'end': 13715.011, 'text': 'We can see that the list2 is empty now.', 'start': 13713.13, 'duration': 1.881}], 'summary': 'One element removed, list cleared, list2 is empty.', 'duration': 34.409, 'max_score': 13680.602, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw13680602.jpg'}], 'start': 12355.531, 'title': 'Python operators and list manipulation', 'summary': 'Covers comparison and membership operators in python, bitwise operators and and or, and list manipulation methods, including their characteristics, functionalities, and usage with examples.', 'chapters': [{'end': 12861.831, 'start': 12355.531, 'title': 'Python operators and membership', 'summary': 'Covers the usage of comparison and membership operators in python, demonstrating their functionality with examples and explaining the differences between identity and membership operators while also highlighting the case-sensitivity for membership operator in lists and dictionaries.', 'duration': 506.3, 'highlights': ["The chapter explains the functionality of identity operators by demonstrating the comparison of variables with the 'is' and 'is not' operators, showcasing how they evaluate to true or false based on object references and memory locations. Demonstrates the usage of 'is' and 'is not' operators, showcasing how they evaluate to true or false based on object references and memory locations.", "It illustrates the usage of the membership operators 'in' and 'not in' to determine the presence of elements in lists and dictionaries, emphasizing the case sensitivity and key-value distinction in dictionary membership checks. Demonstrates the usage of 'in' and 'not in' operators with lists and dictionaries, emphasizing case sensitivity and key-value distinction in dictionary membership checks.", 'The chapter also provides examples of using membership operators to check for the presence of elements in lists and dictionaries, highlighting the distinction between checking for keys and values in a dictionary. Provides examples of using membership operators to check for the presence of elements in lists and dictionaries, highlighting the distinction between checking for keys and values in a dictionary.']}, {'end': 13284.193, 'start': 12863.82, 'title': 'Python bitwise operators and lists', 'summary': 'Explains the python bitwise operators: and and or, with examples of their usage and results. it also covers the characteristics of lists in python, including their order, accessibility, mutability, and methods like append, insert, extend, index, remove, sort, and reverse.', 'duration': 420.373, 'highlights': ['The chapter explains the Python bitwise operators: AND and OR, with examples of their usage and results. It covers the Python bitwise AND and OR operators, demonstrating their functionality with examples like 7 & 2 resulting in 2, and 10 OR 5 resulting in 15.', 'It covers the characteristics of lists in Python, including their order, accessibility, mutability, and methods like append, insert, extend, index, remove, sort, and reverse. It details the characteristics of lists in Python, such as being ordered, accessible by index values, mutable, allowing duplicate elements, and various methods like append, insert, extend, index, remove, sort, and reverse.', 'It details the characteristics of lists in Python, such as being ordered, accessible by index values, mutable, allowing duplicate elements, and various methods like append, insert, extend, index, remove, sort, and reverse. It explains the ordered nature of lists, their accessibility via index values, mutability, allowance of duplicate elements, and the methods like append, insert, extend, index, remove, sort, and reverse that can be used with lists.']}, {'end': 13715.011, 'start': 13284.193, 'title': 'Python list manipulation', 'summary': 'Covers python list manipulation, including accessing elements, reverse indexing, slicing, append, extend, delete, remove, pop, and clear methods, with examples and commands.', 'duration': 430.818, 'highlights': ["We can access any element in the list by using its index, such as accessing the third element from list1 gives 'banana'.", "The slicing operator in Python allows us to access a range of items in a list, for example, 'print list1[1:3]' gives 'orange, banana' as output.", "The 'append' function adds an element at the end of the list, demonstrated by adding 'guava' to list1.", "The 'extend' function inserts specific elements at the end of the list, as shown by adding 'watermelon' and 'muskmelon' to list1.", "The 'remove' method removes a specific element from the list, as demonstrated by removing 'kiwi' from list1."]}], 'duration': 1359.48, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw12355531.jpg', 'highlights': ["The chapter explains the functionality of identity operators by demonstrating the comparison of variables with the 'is' and 'is not' operators, showcasing how they evaluate to true or false based on object references and memory locations.", "It illustrates the usage of the membership operators 'in' and 'not in' to determine the presence of elements in lists and dictionaries, emphasizing the case sensitivity and key-value distinction in dictionary membership checks.", 'The chapter also provides examples of using membership operators to check for the presence of elements in lists and dictionaries, highlighting the distinction between checking for keys and values in a dictionary.', 'It covers the Python bitwise AND and OR operators, demonstrating their functionality with examples like 7 & 2 resulting in 2, and 10 OR 5 resulting in 15.', 'It details the characteristics of lists in Python, such as being ordered, accessible by index values, mutable, allowing duplicate elements, and various methods like append, insert, extend, index, remove, sort, and reverse.', "We can access any element in the list by using its index, such as accessing the third element from list1 gives 'banana'.", "The slicing operator in Python allows us to access a range of items in a list, for example, 'print list1[1:3]' gives 'orange, banana' as output.", "The 'append' function adds an element at the end of the list, demonstrated by adding 'guava' to list1.", "The 'extend' function inserts specific elements at the end of the list, as shown by adding 'watermelon' and 'muskmelon' to list1.", "The 'remove' method removes a specific element from the list, as demonstrated by removing 'kiwi' from list1."]}, {'end': 16331.899, 'segs': [{'end': 14814.392, 'src': 'embed', 'start': 14790.611, 'weight': 3, 'content': [{'end': 14800.92, 'text': 'for that we would write the syntax, print the name of the dictionary and in square brackets we will write the key value.', 'start': 14790.611, 'duration': 10.309}, {'end': 14803.002, 'text': 'that would be 1 and run the command.', 'start': 14800.92, 'duration': 2.082}, {'end': 14807.326, 'text': 'we would get the value corresponding to the key value that is apple.', 'start': 14803.002, 'duration': 4.324}, {'end': 14810.45, 'text': 'that is corresponding to the key value, 1.', 'start': 14807.326, 'duration': 3.124}, {'end': 14814.392, 'text': 'now we will see a get method in dictionary.', 'start': 14810.45, 'duration': 3.942}], 'summary': 'Demonstrating dictionary syntax and retrieving value using key 1.', 'duration': 23.781, 'max_score': 14790.611, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw14790611.jpg'}, {'end': 15214.412, 'src': 'embed', 'start': 15174.069, 'weight': 0, 'content': [{'end': 15179.393, 'text': 'Now if you want to copy the particular dictionary in another dictionary, you can write the command.', 'start': 15174.069, 'duration': 5.324}, {'end': 15184.677, 'text': 'First you will name the dictionary you want to create and copy the elements.', 'start': 15180.394, 'duration': 4.283}, {'end': 15208.248, 'text': "We will name it as my dict equal to now write the command dict1 dot copy and then we will print the new dictionary that is mydict and we'll run this command.", 'start': 15185.598, 'duration': 22.65}, {'end': 15214.412, 'text': 'okay, we have not inserted the wrong bracket here.', 'start': 15208.248, 'duration': 6.164}], 'summary': 'Copy a dictionary using dict1.copy() to create mydict.', 'duration': 40.343, 'max_score': 15174.069, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw15174069.jpg'}, {'end': 15533.717, 'src': 'embed', 'start': 15495.792, 'weight': 1, 'content': [{'end': 15497.553, 'text': 'this is also going to be a user input.', 'start': 15495.792, 'duration': 1.761}, {'end': 15507.62, 'text': "so I'm using the input function and I'll say enter the state name in USA.", 'start': 15497.553, 'duration': 10.067}, {'end': 15519.143, 'text': 'so these are the two inputs we are asking from the user, that is to pass the amount for the item and the state in the USA.', 'start': 15507.62, 'duration': 11.523}, {'end': 15520.204, 'text': 'all right.', 'start': 15519.143, 'duration': 1.061}, {'end': 15522.486, 'text': "now we'll start with our first if statement.", 'start': 15520.204, 'duration': 2.282}, {'end': 15531.775, 'text': "I'll write if state equal to equal to, let's say, my first state name is Texas.", 'start': 15522.486, 'duration': 9.289}, {'end': 15533.717, 'text': 'give a colon.', 'start': 15531.775, 'duration': 1.942}], 'summary': 'Using python to prompt user for state name and amount.', 'duration': 37.925, 'max_score': 15495.792, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw15495792.jpg'}, {'end': 16139.72, 'src': 'embed', 'start': 16104.685, 'weight': 5, 'content': [{'end': 16117.977, 'text': "enter the amount for the item, let's see I have my amount as $125, and the next input is enter the state name.", 'start': 16104.685, 'duration': 13.292}, {'end': 16121.14, 'text': "in USA I'll say, let's say, Florida.", 'start': 16117.977, 'duration': 3.163}, {'end': 16128.83, 'text': 'If I run this, it gives me the shipping cost in Florida is $45..', 'start': 16123.846, 'duration': 4.984}, {'end': 16131.613, 'text': "Let's go to the top and see what we have.", 'start': 16128.83, 'duration': 2.783}, {'end': 16138.379, 'text': 'Now our total was $125, which is less than $150 and hence it has printed shipping cost in Florida is $45.', 'start': 16132.654, 'duration': 5.725}, {'end': 16139.72, 'text': "Let's run this again.", 'start': 16138.379, 'duration': 1.341}], 'summary': 'The item cost $125, shipping to florida is $45.', 'duration': 35.035, 'max_score': 16104.685, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw16104685.jpg'}, {'end': 16306.028, 'src': 'embed', 'start': 16235.721, 'weight': 2, 'content': [{'end': 16246.828, 'text': "let's say I have my item amount as $290 and the state name I'll give is, let's say, Colorado.", 'start': 16235.721, 'duration': 11.107}, {'end': 16250.131, 'text': 'I run it.', 'start': 16249.071, 'duration': 1.06}, {'end': 16257.193, 'text': 'it gives us the message as invalid state, which is present in the last part of our code.', 'start': 16250.131, 'duration': 7.062}, {'end': 16268.236, 'text': "so since we haven't defined any shipping cost for Colorado, it has given us the message that the state I am trying to search for is invalid.", 'start': 16257.193, 'duration': 11.043}, {'end': 16278.478, 'text': 'you can check for another state or any other country name anything that is not part of our project.', 'start': 16268.236, 'duration': 10.242}, {'end': 16290.041, 'text': "let's say i'll enter my amount as hundred dollars and this time i'll enter my state name as, let's say, ohio and we'll run it.", 'start': 16278.478, 'duration': 11.563}, {'end': 16293.202, 'text': 'it again gives us invalid state.', 'start': 16290.041, 'duration': 3.161}, {'end': 16295.643, 'text': "let's try out one last time.", 'start': 16293.202, 'duration': 2.441}, {'end': 16306.028, 'text': "i have my package amount as $350 and let's say my state is Alaska.", 'start': 16295.643, 'duration': 10.385}], 'summary': 'Testing shipping costs: 290$ colorado=invalid, 100$ ohio=invalid, 350$ alaska', 'duration': 70.307, 'max_score': 16235.721, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw16235721.jpg'}], 'start': 13715.671, 'title': 'Python data structures and conditional statements', 'summary': 'Covers python lists, tuples, dictionaries, their methods, and conditional statements, including characteristics, methods, and usage, with examples and shipping cost calculation for specific states in the united states resulting in a shipping cost of $30, $20, or $5 for texas, $45, $35, or $10 for florida, $23, $15, or $5 for virginia, and $40, $10, or free for new jersey.', 'chapters': [{'end': 13974.41, 'start': 13715.671, 'title': 'Python lists and tuples', 'summary': 'Covers methods like reverse, index, and count for lists and explains the characteristics of tuples, including their order, immutability, and ability to store duplicate elements, along with methods like index, slicing, and concatenation.', 'duration': 258.739, 'highlights': ['The chapter covers methods like reverse, index, and count for lists, and explains the characteristics of tuples, including their order, immutability, and ability to store duplicate elements, along with methods like index, slicing, and concatenation.', 'The command list1.reverse will reverse the list1, and the command print list1 will display the reversed list.', "The 'index' method can be used to access the index of a particular element in the list, such as finding the index of 'guava' as 1.", "The 'count' method can be used to determine the number of times a specific element appears in the list, for example, 'muskmelon' appears once in list1.", 'Tuples are explained as collections of objects with defined order, immutable, and capable of storing duplicate elements, along with methods like index, slicing, and concatenation.', 'The characteristics of tuples are detailed, including their ordered nature, immutability, ability to store various types of elements, and allowing duplicate elements.']}, {'end': 14265.029, 'start': 13974.67, 'title': 'Tuples and their methods', 'summary': 'Introduces tuples, covering addition, repetition, count, index, accessing elements, type checking, slicing, and repetition in python, showing examples and methods for tuple manipulation.', 'duration': 290.359, 'highlights': ['Tuples addition using plus operator The chapter explains that tuples can be added by writing the name of the tuples and placing the plus operator between them.', 'Repetition method in tuples It is demonstrated that the repetition method in tuples is achieved by using the multiply operator and specifying the number of times the element should be repeated in the tuple, with an example showing an element being repeated 3 times.', 'Count method for tuples The count method is described as returning the number of times a specified value occurs in a tuple, with the syntax tuple.count and an example demonstrating its usage.', 'Accessing elements in a tuple The process of accessing elements in a tuple is detailed, including accessing elements by index, accessing elements in reverse order, and using the slicing operator, with examples provided for each method.', "Type checking for tuples The chapter explains the process of checking the type of a tuple, demonstrating how a single element is considered as a string unless a comma is added to form a tuple, and showcasing the type checking using the 'print type' command.", 'Slicing operator in tuples The slicing operator in tuples is introduced, with an example demonstrating how it is used to print specific elements from a tuple based on their index values.']}, {'end': 14573.911, 'start': 14265.469, 'title': 'Tuples, append method, and dictionaries in python', 'summary': 'Covers the count and index methods in tuples, using the append method in tuples, adding two tuples, executing loops in tuples, and understanding dictionaries in python, with examples and explanations.', 'duration': 308.442, 'highlights': ["The count method in tuples can be used to find the number of times a specific element is present, such as getting the count of 'guava' which returns 0.", "Using the append method in tuples involves converting the tuple to a list, appending an element like 'guava', and then converting the list back to a tuple, demonstrated with syntax and output.", "Adding two tuples is shown using the 'tuple1 += tuple3' syntax, resulting in the combination of 'tuple1' and 'tuple3' elements as the final tuple1.", 'The concept of dictionaries in Python is explained, emphasizing key-value pairs and their usage, with a clear understanding of how dictionaries are defined and their usage with examples.']}, {'end': 14814.392, 'start': 14575.012, 'title': 'Python dictionaries and methods', 'summary': 'Introduces python dictionaries, highlighting their characteristics including order, mutability, and non-duplicacy, along with methods like clear, get, keys, pop, and popitem.', 'duration': 239.38, 'highlights': ['Dictionaries are mutable Dictionaries can be changed, added to, and removed from after creation.', 'Dictionaries are ordered from Python version 3.7 In Python 3.7 and later versions, dictionaries maintain the order of items, which does not change.', 'Dictionaries cannot have two items with the same key It is not allowed for dictionaries to contain duplicate keys.', 'The clear method removes all elements from the dictionary The clear method is used to remove all items from the dictionary.', 'The popItem method removes the last inserted key-value pair from the dictionary The popItem method removes the last key-value pair added to the dictionary.']}, {'end': 15102.541, 'start': 14814.392, 'title': 'Python dictionary methods', 'summary': 'Explains various dictionary methods including get, pop, length, sorted, keys, values, update, and pop item, demonstrating their usage and effects on a dictionary with examples and outputs.', 'duration': 288.149, 'highlights': ["The 'update' method is used to update values or add more elements to the dictionary, demonstrated by updating the value of 'orange' to 'watermelon' and adding a new element 'muskmelon', resulting in the respective changes in the dictionary.", "The 'pop' method is showcased for removing elements from the dictionary, illustrated by removing the element with the key 'kiwi' and subsequently 'orange', resulting in the updated dictionary.", "The 'sorted' method is demonstrated to display all the key values in a sorted manner when executed, providing a sorted view of the dictionary's keys.", "The 'length' of the dictionary is printed using the 'len' function, showing that the dictionary contains three elements, emphasizing the quantifiable data about the dictionary's size.", "The 'keys' method is utilized to display all the keys present in the dictionary, providing a comprehensive list of the keys within the dictionary.", "The 'values' method is employed to display all the values present in the dictionary, showcasing all the values stored in the dictionary."]}, {'end': 15375.69, 'start': 15103.281, 'title': 'Python dictionaries and conditional statements', 'summary': 'Covers python dictionaries, including methods for removing elements, looping through key-value pairs, and copying dictionaries, as well as conditional statements such as if, elif, and else, demonstrating their syntax and use cases.', 'duration': 272.409, 'highlights': ['The chapter covers Python dictionaries, including methods for removing elements, looping through key-value pairs, and copying dictionaries.', 'Conditional statements such as if, elif, and else are demonstrated, showing their syntax and use cases.', 'The if statement is explained, including its syntax and the execution process based on the test condition.', 'The elif statement is described as being used to check multiple conditions and its syntax and execution process are explained.', 'The else clause is highlighted, indicating that it runs if the expression for the if or elif statement is false.']}, {'end': 16331.899, 'start': 15375.69, 'title': 'Package delivery cost project', 'summary': 'Demonstrates the use of if-else and elif statements to create a python program that calculates shipping costs based on the location and total amount of items for specific states in the united states, showcasing nested if statements and the elif and else statements, resulted in a shipping cost of $30, $20, or $5 for texas, $45, $35, or $10 for florida, $23, $15, or $5 for virginia, and $40, $10, or free for new jersey, and handling invalid state inputs, with examples and explanations.', 'duration': 956.209, 'highlights': ['The program calculates and prints the shipping cost for specific states in the United States based on the total amount of items using nested if statements, such as $30, $20, or $5 for Texas, $45, $35, or $10 for Florida, $23, $15, or $5 for Virginia, and $40, $10, or free for New Jersey. Demonstrates the use of nested if statements to determine shipping costs based on different conditions and states, providing quantifiable data.', "The program includes handling for invalid state inputs by printing 'invalid State name' and also provides examples of invalid inputs and their corresponding outputs ('invalid state' for Colorado, Ohio, and Alaska). Illustrates the handling of invalid inputs and the associated error message, showing the program's functionality in dealing with unexpected inputs.", 'The program prompts the user for inputs (total amount and state name) and showcases examples of inputs and their resulting shipping costs, such as $45 for Florida with $125 total amount and free shipping for New Jersey with $255 total amount. Highlights the user interaction aspect of the program, demonstrating how inputs affect the calculated shipping costs using specific examples.']}], 'duration': 2616.228, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw13715671.jpg', 'highlights': ['The program calculates and prints the shipping cost for specific states in the United States based on the total amount of items using nested if statements, providing quantifiable data.', 'The chapter covers Python dictionaries, including methods for removing elements, looping through key-value pairs, and copying dictionaries.', "The 'update' method is used to update values or add more elements to the dictionary, demonstrated by updating the value of 'orange' to 'watermelon' and adding a new element 'muskmelon'.", 'Dictionaries are ordered from Python version 3.7, maintaining the order of items, which does not change.', "The 'keys' method is utilized to display all the keys present in the dictionary, providing a comprehensive list of the keys within the dictionary.", 'The command list1.reverse will reverse the list1, and the command print list1 will display the reversed list.', "The 'pop' method is showcased for removing elements from the dictionary, illustrated by removing the element with the key 'kiwi' and subsequently 'orange', resulting in the updated dictionary.", "The 'length' of the dictionary is printed using the 'len' function, showing that the dictionary contains three elements, emphasizing the quantifiable data about the dictionary's size."]}, {'end': 17496.736, 'segs': [{'end': 16359.996, 'src': 'embed', 'start': 16333.76, 'weight': 4, 'content': [{'end': 16345.227, 'text': 'A while loop specifies a condition or a block of code that is to be executed until the condition evaluates to false or the loop is explicitly ended with a break statement.', 'start': 16333.76, 'duration': 11.467}, {'end': 16349.089, 'text': 'Moving on to the next slide.', 'start': 16347.989, 'duration': 1.1}, {'end': 16353.432, 'text': 'So here you can see the syntax of a while loop.', 'start': 16350.85, 'duration': 2.582}, {'end': 16359.996, 'text': 'So a while loop is defined using the while keyword and then you have the expression followed by a colon.', 'start': 16354.132, 'duration': 5.864}], 'summary': 'A while loop executes code until condition is false.', 'duration': 26.236, 'max_score': 16333.76, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw16333760.jpg'}, {'end': 16620.237, 'src': 'embed', 'start': 16569.127, 'weight': 1, 'content': [{'end': 16582.628, 'text': "cool, now let's move on to our next example in this video on while loop I'll define a variable called count and I'll assign a value 0.", 'start': 16569.127, 'duration': 13.501}, {'end': 16593.356, 'text': "I'll say while my count is less than equal to 5, I'll give a colon, come to the next line and I'll print.", 'start': 16582.628, 'duration': 10.728}, {'end': 16614.755, 'text': "the condition is true and then I'll say count equal to count plus 1 And then I'll say print end of loop.", 'start': 16593.356, 'duration': 21.399}, {'end': 16620.237, 'text': "let's run and see our result.", 'start': 16617.955, 'duration': 2.282}], 'summary': 'Example of while loop with count from 0 to 5.', 'duration': 51.11, 'max_score': 16569.127, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw16569127.jpg'}, {'end': 16937.644, 'src': 'embed', 'start': 16877.255, 'weight': 0, 'content': [{'end': 16884.398, 'text': 'I am incrementing the value of x each time and checking if this is true or not.', 'start': 16877.255, 'duration': 7.143}, {'end': 16894.189, 'text': 'Now, at the first instance, when my number, x is divisible by both 4 and 7, I am coming out of the loop and we are going to print this.', 'start': 16885.762, 'duration': 8.427}, {'end': 16897.212, 'text': "Now let's see what's the answer.", 'start': 16894.71, 'duration': 2.502}, {'end': 16898.213, 'text': 'There you go.', 'start': 16897.813, 'duration': 0.4}, {'end': 16906.08, 'text': 'You can see here 28 is divisible by both 4 and 7 and hence the LCM of 4 and 7 is 28.', 'start': 16898.413, 'duration': 7.667}, {'end': 16911.745, 'text': 'So this is the least number which is divisible by 4 and 7.', 'start': 16906.08, 'duration': 5.665}, {'end': 16912.045, 'text': 'All right.', 'start': 16911.745, 'duration': 0.3}, {'end': 16921.801, 'text': 'now you can also use the continue statement, how you use the break statement to come out of the loop.', 'start': 16913.479, 'duration': 8.322}, {'end': 16927.022, 'text': 'you can also use the continue statement to continue running the loop.', 'start': 16921.801, 'duration': 5.221}, {'end': 16933.463, 'text': 'so I will say i equal to 0 while i is less than 10.', 'start': 16927.022, 'duration': 6.441}, {'end': 16934.803, 'text': 'so this is my expression.', 'start': 16933.463, 'duration': 1.34}, {'end': 16937.644, 'text': 'my loop is going to run until i is less than 10.', 'start': 16934.803, 'duration': 2.841}], 'summary': 'Lcm of 4 and 7 is 28, the least number divisible by both.', 'duration': 60.389, 'max_score': 16877.255, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw16877255.jpg'}], 'start': 16333.76, 'title': 'While loops in python', 'summary': 'Discusses the syntax, execution, and examples of while loops in python, including test expressions, block statements, flow chart, incrementing values, break and continue statements, least common multiple, usage of continue and break statements, else statement, inbuilt functions, calculating average of positive numbers, and guessing a random number.', 'chapters': [{'end': 16465.403, 'start': 16333.76, 'title': 'While loop syntax and execution', 'summary': 'Discusses the syntax and execution of a while loop in python, including the test expression, statements inside the block, and the flow chart, also presenting a quiz question and encouraging audience participation.', 'duration': 131.643, 'highlights': ['Presented the syntax of a while loop using the while keyword, expression, and statements inside the block.', 'Explained the flow chart depicting the steps to execute a while loop, emphasizing the test expression and the exit condition.', 'Engaged the audience with a Python quiz question related to list manipulation and encouraged participation by providing multiple options for the answer.']}, {'end': 16968.655, 'start': 16465.484, 'title': 'Python while loop examples', 'summary': 'Demonstrates various examples of while loops in python, including incrementing values and using break, continue statements, and finding the least common multiple of 4 and 7.', 'duration': 503.171, 'highlights': ['The least common multiple (LCM) of 4 and 7 is 28, found using a while loop in Python. The transcript demonstrates using a while loop to find the least common multiple (LCM) of 4 and 7, which is calculated as 28.', "An example of using the break statement in a while loop to exit based on a condition. The example showcases using the break statement to exit a while loop based on a condition, specifically when the user enters the correct name 'Gilly'.", 'Demonstration of using the continue statement to skip a specific iteration in a while loop. The transcript presents an example of using the continue statement to skip the iteration when the value of i is 6 in a while loop.']}, {'end': 17496.736, 'start': 16968.655, 'title': 'Using while loop in python', 'summary': 'Covers the usage of continue and break statements, else statement, inbuilt functions like pop, calculating average of positive numbers, and guessing a random number in a while loop with python.', 'duration': 528.081, 'highlights': ['Using continue and break statements The speaker explains the usage of continue and break statements in a while loop, demonstrating how the execution skipped the value 6 and continued with 7, 8, 9, and 10.', 'Calculating average of positive numbers The speaker demonstrates a program that accepts positive numbers from the user and calculates the average, providing examples with results such as the sum of 5, 7, and 10 being 22 with an average of 7.33.', 'Guessing a random number The speaker introduces a program where the user inputs a number within a range, and the program guesses the random number generated, showcasing the usage of the random library and while loop.', 'Using else statement and inbuilt functions The speaker illustrates the usage of the else statement in a while loop and demonstrates the use of the pop function to remove elements from a list, showcasing the iteration and removal process.']}], 'duration': 1162.976, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw16333760.jpg', 'highlights': ['Discusses the syntax, execution, and examples of while loops in python', 'Presented the syntax of a while loop using the while keyword, expression, and statements inside the block', 'Explained the flow chart depicting the steps to execute a while loop, emphasizing the test expression and the exit condition', 'The least common multiple (LCM) of 4 and 7 is 28, found using a while loop in Python', 'An example of using the break statement in a while loop to exit based on a condition', 'Demonstration of using the continue statement to skip a specific iteration in a while loop', 'Using continue and break statements The speaker explains the usage of continue and break statements in a while loop', 'Calculating average of positive numbers The speaker demonstrates a program that accepts positive numbers from the user and calculates the average', 'Guessing a random number The speaker introduces a program where the user inputs a number within a range, and the program guesses the random number generated', 'Using else statement and inbuilt functions The speaker illustrates the usage of the else statement in a while loop and demonstrates the use of the pop function to remove elements from a list']}, {'end': 21985.034, 'segs': [{'end': 18744.753, 'src': 'embed', 'start': 18711.824, 'weight': 0, 'content': [{'end': 18716.886, 'text': "now I'll use my second for loop, sync for letter in.", 'start': 18711.824, 'duration': 5.062}, {'end': 18725.19, 'text': 'I will print the letter.', 'start': 18716.886, 'duration': 8.304}, {'end': 18727.751, 'text': "let's run it and see our result.", 'start': 18725.19, 'duration': 2.561}, {'end': 18729.232, 'text': 'there you go.', 'start': 18727.751, 'duration': 1.481}, {'end': 18734.254, 'text': 'so here we have used two for loops, so that becomes a nested for loop.', 'start': 18729.232, 'duration': 5.022}, {'end': 18738.776, 'text': 'we have my outer for loop and then we have our inner for loop.', 'start': 18734.254, 'duration': 4.522}, {'end': 18744.753, 'text': 'so in the outer for loop we are just printing the name of the company.', 'start': 18739.392, 'duration': 5.361}], 'summary': 'Demonstrates nested for loop, printing company name.', 'duration': 32.929, 'max_score': 18711.824, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw18711824.jpg'}, {'end': 19832.772, 'src': 'embed', 'start': 19793.689, 'weight': 1, 'content': [{'end': 19799.508, 'text': "my next key is A and the value is, let's say, 3.", 'start': 19793.689, 'duration': 5.819}, {'end': 19804.792, 'text': "After that, my next key is E and the value is, let's say, 9..", 'start': 19799.508, 'duration': 5.284}, {'end': 19810.796, 'text': 'And finally, we have our last key, which is C, and the value is 2.', 'start': 19804.792, 'duration': 6.004}, {'end': 19821.824, 'text': "Now to sort this dictionary, I'll say for I in sorted, I'm going to use the items method.", 'start': 19810.796, 'duration': 11.028}, {'end': 19826.848, 'text': "I'll say sorted D.items, and then we'll print I.", 'start': 19822.345, 'duration': 4.503}, {'end': 19831.671, 'text': 'Let me run it and show you the result.', 'start': 19830.031, 'duration': 1.64}, {'end': 19832.772, 'text': 'You can see it here.', 'start': 19832.051, 'duration': 0.721}], 'summary': 'Sorting a dictionary with 3 keys and values using python.', 'duration': 39.083, 'max_score': 19793.689, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw19793689.jpg'}, {'end': 20281.222, 'src': 'embed', 'start': 20239.493, 'weight': 2, 'content': [{'end': 20245.095, 'text': 'So this variable will hold a list of elements of the different country names.', 'start': 20239.493, 'duration': 5.602}, {'end': 20246.356, 'text': "I'll say India.", 'start': 20245.635, 'duration': 0.721}, {'end': 20251.458, 'text': "Let's say my second country is Canada.", 'start': 20247.576, 'duration': 3.882}, {'end': 20258.668, 'text': "and let's say, my third country I have is Brazil.", 'start': 20252.964, 'duration': 5.704}, {'end': 20272.076, 'text': "my fourth country I have is Japan and then we have, let's say, Israel.", 'start': 20258.668, 'duration': 13.408}, {'end': 20277.58, 'text': "okay, now I'll use a while loop.", 'start': 20272.076, 'duration': 5.504}, {'end': 20281.222, 'text': "so I'll say while my list that is country.", 'start': 20277.58, 'duration': 3.642}], 'summary': 'Transcript describes creating a list of 5 country names and using a while loop.', 'duration': 41.729, 'max_score': 20239.493, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw20239493.jpg'}, {'end': 21880.679, 'src': 'embed', 'start': 21852.95, 'weight': 4, 'content': [{'end': 21860.48, 'text': 'you can see here we have printed the minimum value in my dictionary, which is 3.', 'start': 21852.95, 'duration': 7.53}, {'end': 21865.966, 'text': "okay, now, moving ahead, we'll explore another function called iter.", 'start': 21860.48, 'duration': 5.486}, {'end': 21871.875, 'text': 'So Python iter function returns an iterator for the given object.', 'start': 21868.294, 'duration': 3.581}, {'end': 21876.657, 'text': 'So the iter function creates an object which can be iterated one element at a time.', 'start': 21872.476, 'duration': 4.181}, {'end': 21880.679, 'text': 'And the next function returns the next item in an iterator.', 'start': 21877.478, 'duration': 3.201}], 'summary': 'Python iter function creates an iterator for given object, allowing iteration.', 'duration': 27.729, 'max_score': 21852.95, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw21852950.jpg'}], 'start': 17496.736, 'title': 'Python programming concepts', 'summary': 'Introduces a python guessing game and covers for loop usage, techniques, sorting, filtering, data manipulation, looping techniques, and functions overview with multiple examples and practical applications.', 'chapters': [{'end': 17802.508, 'start': 17496.736, 'title': 'Python guessing game', 'summary': 'Introduces a python guessing game where a random number between 1 and 100 is generated, and the user is prompted to guess the number. the program provides feedback on whether the guess is low or high and terminates when the correct number is guessed.', 'duration': 305.772, 'highlights': ["The program generates a random integer between 1 and 100 using the 'random' library. The game starts by generating a random integer between 1 and 100 using the 'random' library.", 'The program provides feedback to the user based on their guess, indicating whether it is low or high. The program gives feedback to the user regarding their guess, specifying if it is low or high.', 'The for loop in Python is explained, highlighting its use to iterate over items in a sequence such as a list, tuple, dictionary, or string. The chapter concludes with an explanation of the for loop in Python, emphasizing its ability to iterate over items in a sequence, including lists, tuples, dictionaries, and strings.']}, {'end': 18710.089, 'start': 17802.508, 'title': 'Python for loop examples', 'summary': 'Covers python for loop usage, including iterating over strings, lists, tuples, computing the average of numbers, using the range function, printing multiplication tables, and nested for loops with examples and outputs.', 'duration': 907.581, 'highlights': ['Iterating over strings and printing each character using a for loop The for loop is used to iterate over a string and print each character, demonstrating the iteration over a sequence and printing individual items.', 'Calculating the average of a list of numbers using a for loop The for loop is utilized to calculate the sum of a list of numbers and then compute the average, showcasing numerical computations within a for loop.', 'Demonstrating the usage of the range function to iterate over a range of values with a for loop The range function is employed to iterate over a range of values and print them using a for loop, illustrating the use of range and its parameters.', 'Printing a multiplication table using a for loop and range function A for loop and the range function are utilized to generate a multiplication table, showcasing the combined usage of for loop and the range function.', 'Using nested for loops to iterate over a list of company names and display each letter Nested for loops are employed to iterate over a list of company names and display each letter, illustrating the concept of nested iterations within for loops.']}, {'end': 19538.73, 'start': 18711.824, 'title': 'Python for loop techniques', 'summary': 'Demonstrates the use of for loops in python, covering nested for loops, for loops with else clause, break and continue statements, iterating over dictionaries, and printing patterns using for loops.', 'duration': 826.906, 'highlights': ["Demonstration of nested for loops to iterate over multiple elements, such as company names, using two for loops. The transcript explains the use of nested for loops to iterate over company names like 'google', 'apple', 'pwc', and 'uber' by displaying each letter of the company names.", "Explanation of the break statement in a for loop, which stops the iteration when a specific condition is met. The demonstration showcases the use of the break statement to end the for loop iteration when the value of 'i' reaches 6, printing all the values iterated till that point.", 'Illustration of the continue statement in a for loop, allowing the iteration to skip certain elements based on a condition. The transcript explains the use of the continue statement to skip the printing of the number 6 and move on to the next element during the iteration.', 'Example of iterating over a dictionary and printing the total goals scored by a specific player. The example demonstrates iterating over a dictionary of player names and their goals, printing the goals scored by a specific player, or notifying if no player with that name is found.', 'Demonstration of using a for loop to calculate and print the cubes of numbers in a list. The transcript illustrates the use of a for loop to calculate the cube of each number in a list and print the results.', 'Illustration of using for loops to print patterns, such as a right angle triangle, based on user input. The chapter demonstrates using for loops to print a right angle triangle based on user input for the number of rows, iterating to print the corresponding number of stars in each row.']}, {'end': 20012.44, 'start': 19539.79, 'title': 'Sorting and filtering in python', 'summary': 'Demonstrates sorting lists in ascending and descending order using for loops and the sorted function, sorting string elements alphabetically, sorting dictionary keys and values, reversing list elements using the reversed function, and filtering specific elements in a list based on conditions using the filter function.', 'duration': 472.65, 'highlights': ['The chapter demonstrates how to sort lists in ascending and descending order using for loops and the sorted function, with an example of sorting a list of numbers and a list of strings. It also shows how to sort dictionary keys and values, and reverse list elements using the reversed function, providing a comprehensive understanding of sorting techniques in Python.', 'The chapter also showcases the use of the filter function combined with an anonymous function (lambda function) to filter specific elements in a list based on conditions, introducing a powerful method for data manipulation in Python.', 'The detailed examples include sorting a list of numbers in ascending and descending order, sorting a list of strings alphabetically, sorting dictionary keys and values, reversing list elements, and filtering elements in a list based on conditions, providing practical demonstrations of the discussed concepts and techniques.']}, {'end': 20524.893, 'start': 20012.44, 'title': 'Python data manipulation', 'summary': 'Demonstrates data manipulation in python, including filtering elements in a list based on a specific condition using the filter function and an anonymous lambda function, removing items from a list using a while loop, and running while loops in a single line. it also showcases an example of running an infinite loop and taking user input for multiplication operations.', 'duration': 512.453, 'highlights': ['The chapter demonstrates filtering elements in a list based on a specific condition using the filter function and an anonymous lambda function, resulting in only the age of lion and leopard being divisible by 2, i.e., 30 and 18. Python filters elements in the list based on a condition using the filter function and an anonymous lambda function, resulting in only the age of lion and leopard being divisible by 2, i.e., 30 and 18.', 'The chapter illustrates removing items from a list using a while loop and the pop function, resulting in the removal of all elements from the list. The chapter illustrates removing items from a list using a while loop and the pop function, resulting in the removal of all elements from the list.', 'The chapter showcases running while loops in a single line, decrementing the value of a variable until it reaches zero and printing each decremented value. The chapter showcases running while loops in a single line, decrementing the value of a variable until it reaches zero and printing each decremented value.', 'The chapter presents an example of an infinite loop, where a user input integer is multiplied by 5 continuously, and the product is printed. The chapter presents an example of an infinite loop, where a user input integer is multiplied by 5 continuously, and the product is printed.']}, {'end': 21175.898, 'start': 20524.893, 'title': 'Python looping techniques', 'summary': 'Demonstrates python looping techniques such as enumerate and zip, including explaining how enumerate numbers list indices, illustrating zip function for iterating through arrays, and showcasing zip_longest for pairing and filling values in iterators.', 'duration': 651.005, 'highlights': ['The chapter demonstrates Python looping techniques such as enumerate and zip. It covers the usage of the enumerate function to number list indices and the zip function for iterating through arrays.', 'The enumerate function in Python automatically assigns indices to items in a tuple. It showcases how the enumerate function automatically assigns indices to items in a tuple when used in a for loop, with a total of 9 elements in the list.', "The zip function pairs items from two arrays and can handle arrays of different lengths. It illustrates the zip function's ability to pair items from two arrays and handle arrays of different lengths, providing an example with football player names and their surnames.", 'The zip_longest function in Python fills remaining values in iterators and is part of the itertools module. It explains the purpose of the zip_longest function in filling remaining values in iterators and shows the process of importing and using it, with an example using the same football player names and surnames.']}, {'end': 21985.034, 'start': 21176.478, 'title': 'Python functions overview', 'summary': 'Covers an overview of python functions, including built-in and user-defined functions, with examples and explanations. it highlights the advantages of using python functions and explores several inbuilt functions such as absolute, length, all, sum, max, min, iter, next, and power, showcasing their functionality and practical usage.', 'duration': 808.556, 'highlights': ['The chapter covers an overview of Python functions, including built-in and user-defined functions, with examples and explanations. It covers the concept of Python functions, including built-in and user-defined functions, and provides examples to illustrate their usage and practical applications.', 'It highlights the advantages of using Python functions. The text emphasizes the benefits of using Python functions, such as avoiding code repetition and making extensive programs more manageable and organized.', 'It explores several inbuilt functions such as absolute, length, all, sum, max, min, iter, next, and power, showcasing their functionality and practical usage. The transcript delves into the practical applications and explanations of various inbuilt functions in Python, including absolute, length, all, sum, max, min, iter, next, and power, providing examples and demonstrating their functionality.']}], 'duration': 4488.298, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw17496736.jpg', 'highlights': ['The chapter demonstrates how to sort lists in ascending and descending order using for loops and the sorted function, with an example of sorting a list of numbers and a list of strings.', "The program generates a random integer between 1 and 100 using the 'random' library. The game starts by generating a random integer between 1 and 100 using the 'random' library.", 'Demonstration of using a for loop to calculate and print the cubes of numbers in a list.', 'The chapter covers an overview of Python functions, including built-in and user-defined functions, with examples and explanations.', 'The chapter demonstrates Python looping techniques such as enumerate and zip. It covers the usage of the enumerate function to number list indices and the zip function for iterating through arrays.']}, {'end': 25933.282, 'segs': [{'end': 23763.341, 'src': 'embed', 'start': 23734.239, 'weight': 0, 'content': [{'end': 23740.001, 'text': "now, moving ahead, we'll look at the pros and cons of lambda functions.", 'start': 23734.239, 'duration': 5.762}, {'end': 23743.642, 'text': 'so lambda functions are suitable for simple logical operations.', 'start': 23740.001, 'duration': 3.641}, {'end': 23748.535, 'text': 'So when we want one expression in return, we can use the lambda function.', 'start': 23744.614, 'duration': 3.921}, {'end': 23755.218, 'text': 'Now lambda function is used as a parameter to different functions such as map, filter, reduce.', 'start': 23749.216, 'duration': 6.002}, {'end': 23758.059, 'text': 'We will see all this in our demo session.', 'start': 23755.538, 'duration': 2.521}, {'end': 23763.341, 'text': 'Now coming to the cons of using a lambda function.', 'start': 23759.98, 'duration': 3.361}], 'summary': 'Lambda functions are suitable for simple logical operations and used as a parameter in functions like map, filter, and reduce.', 'duration': 29.102, 'max_score': 23734.239, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw23734239.jpg'}, {'end': 23810.352, 'src': 'embed', 'start': 23779.302, 'weight': 6, 'content': [{'end': 23785.744, 'text': 'And finally, lambda functions are generally not preferred when you have to declare a function with multiple lines of code.', 'start': 23779.302, 'duration': 6.442}, {'end': 23792.667, 'text': "Now let's head over to our Jupyter notebook where we will learn about lambda functions and how to use it in different ways.", 'start': 23786.665, 'duration': 6.002}, {'end': 23796.06, 'text': 'so I am on my Jupyter notebook.', 'start': 23794.659, 'duration': 1.401}, {'end': 23807.029, 'text': 'let me just go ahead and will rename the notebook as lambda functions in python.', 'start': 23796.06, 'duration': 10.969}, {'end': 23810.352, 'text': 'ok, I will just click on rename.', 'start': 23807.029, 'duration': 3.323}], 'summary': 'Lambda functions are not preferred for multi-line code. exploring lambda functions in jupyter notebook.', 'duration': 31.05, 'max_score': 23779.302, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw23779302.jpg'}, {'end': 23968.356, 'src': 'embed', 'start': 23933.312, 'weight': 1, 'content': [{'end': 23934.632, 'text': "let's say I want to add 50 with 100.", 'start': 23933.312, 'duration': 1.32}, {'end': 23938.393, 'text': 'if I run it, I have the result 150.', 'start': 23934.632, 'duration': 3.761}, {'end': 23943.855, 'text': 'all right now in Python there is no need to assign a lambda to a variable.', 'start': 23938.393, 'duration': 5.462}, {'end': 23945.696, 'text': 'you can directly call it.', 'start': 23943.855, 'duration': 1.841}, {'end': 23947.896, 'text': 'let me show you how to do it.', 'start': 23945.696, 'duration': 2.2}, {'end': 23955.287, 'text': "I'll say lambda a, comma b, which are my arguments again.", 'start': 23947.896, 'duration': 7.391}, {'end': 23968.356, 'text': "this time I'm going to use a multiplication operator, since i want to do a product of a and b, and after that, using another parenthesis,", 'start': 23955.287, 'duration': 13.069}], 'summary': 'Using python lambda, performing multiplication of 50 and 100 yields 5000.', 'duration': 35.044, 'max_score': 23933.312, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw23933312.jpg'}, {'end': 24090.934, 'src': 'embed', 'start': 24055.731, 'weight': 2, 'content': [{'end': 24062.748, 'text': 'if I run this, I have the result the product of 5 multiplied by 10, multiplied by 4 is 200.', 'start': 24055.731, 'duration': 7.017}, {'end': 24066.95, 'text': 'Now you can also use default arguments.', 'start': 24062.748, 'duration': 4.202}, {'end': 24075.053, 'text': "suppose I say add equal to, I'll use the lambda function and say x, comma y.", 'start': 24066.95, 'duration': 8.103}, {'end': 24080.555, 'text': "I am assigning a default value of, let's say, 15 and z.", 'start': 24075.053, 'duration': 5.502}, {'end': 24083.769, 'text': "let's say I'll assign a default value of 24..", 'start': 24080.555, 'duration': 3.214}, {'end': 24090.934, 'text': "then I'll give my colon followed by the expression that is x plus y plus z.", 'start': 24083.769, 'duration': 7.165}], 'summary': 'Using default arguments, a lambda function calculates the sum of 3 values.', 'duration': 35.203, 'max_score': 24055.731, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw24055731.jpg'}, {'end': 25933.282, 'src': 'embed', 'start': 25902.84, 'weight': 4, 'content': [{'end': 25911.606, 'text': "now, if I print s1.name, I'll have Virat instead of Harry.", 'start': 25902.84, 'duration': 8.766}, {'end': 25918.878, 'text': "okay, now, if you want to delete the object properties, let's say i want to delete one of the properties.", 'start': 25911.606, 'duration': 7.272}, {'end': 25922.519, 'text': "let's say i want to delete name property of the student.", 'start': 25918.878, 'duration': 3.641}, {'end': 25930.481, 'text': 'to do that, i can use the del keyword followed by the object name that is s1, and say s1.name.', 'start': 25922.519, 'duration': 7.962}, {'end': 25933.282, 'text': 'now, if i print s1.name,', 'start': 25930.481, 'duration': 2.801}], 'summary': 'Demonstrates using del keyword to delete object properties', 'duration': 30.442, 'max_score': 25902.84, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw25902840.jpg'}], 'start': 21985.034, 'title': 'Python functions and classes', 'summary': 'Covers python functions, including built-in functions like pow, range, round, sorted, and slice, user-defined functions, and lambda functions. it also introduces the concept of classes and objects, with examples and demonstrations.', 'chapters': [{'end': 22416.589, 'start': 21985.034, 'title': 'Python functions and iterables', 'summary': 'Covers the usage of important built-in python functions such as pow, range, round, sorted, and slice, providing examples and demonstrating their functionality, including 2 raised to power 4 is 16, range function returning a sequence of numbers from 0 to 5, round function rounding 8.62475 to 8.62, sorted function sorting elements in ascending and descending order, and slice function slicing the first five elements of a tuple. it also introduces user-defined functions using def keyword and a function name.', 'duration': 431.555, 'highlights': ['The chapter covers the usage of important built-in Python functions such as pow, range, round, sorted, and slice, providing examples and demonstrating their functionality, including 2 raised to power 4 is 16, range function returning a sequence of numbers from 0 to 5, round function rounding 8.62475 to 8.62, sorted function sorting elements in ascending and descending order, and slice function slicing the first five elements of a tuple. It also introduces user-defined functions using def keyword and a function name.', 'The round function rounds off a number to the given number of digits, for example, rounding 8.62475 to 2 decimal places results in 8.62.', 'The sorted function returns a sorted list of the specified iterable object and can specify ascending or descending order, exemplified by sorting letters in ascending and descending order and sorting numbers in ascending and descending order.', 'The range function returns a sequence of numbers starting from 0 and increments by 1, stopping before the given number, illustrated by generating numbers from 0 to 5 and changing the default starting value to 40 with a step size of 2.', 'The slice function returns a portion of an iterable as an object of the slice class based on the specified range, demonstrated by slicing the first five elements of a tuple.']}, {'end': 23496.013, 'start': 22416.589, 'title': 'Python user defined functions', 'summary': 'Covers user-defined functions in python, including simple functions, functions with different parameters, passing arguments, default arguments, scope of variables, *args in function definitions, and finding the area of a circle and sphere.', 'duration': 1079.424, 'highlights': ['The chapter covers user-defined functions in Python, including simple functions, functions with different parameters, passing arguments, default arguments, scope of variables, *args in function definitions, and finding the area of a circle and sphere. The summary encapsulates the key topics and examples covered in the transcript.', 'The function ft_2_cm converts feet to centimeters using the formula centimeter = feet * 30.48. Demonstrates a user-defined function to convert feet to centimeters using a specific formula.', 'The add function adds two values, with examples of adding 40 and 50 as well as -20 and 30. Illustrates a user-defined function for addition, providing examples of adding different pairs of values.', 'The multiply function multiplies two numbers, with an example of multiplying 4 by 6 resulting in 24. Showcases a user-defined function for multiplication, including a specific example.', 'The absolute function returns the absolute value of a number, handling cases for positive and negative numbers. Introduces a user-defined function to calculate the absolute value of a number, showcasing scenarios for positive and negative inputs.', 'The factorial function calculates the factorial of a number, with examples of finding the factorial of 5 and 10. Presents a user-defined function to compute the factorial of a number, including examples of different factorial calculations.']}, {'end': 23894.571, 'start': 23496.013, 'title': 'Using lambda functions in python', 'summary': 'Covers the definition and usage of lambda functions in python, demonstrating a comparison between a user-defined function and a lambda function, and highlighting the pros and cons of lambda functions, including their suitability for simple logical operations and limitations in handling multiple lines of code. key examples include calculating circle and sphere areas using a main function and the application of lambda functions in adding two numbers.', 'duration': 398.558, 'highlights': ['The value of the circle area with radius 15 is 706.5, and the sphere area with radius 10 is 1256. Demonstrates the calculation of circle and sphere areas using a main function, showcasing the practical application of mathematical operations and function calls.', 'Lambda functions are suitable for simple logical operations and are used as parameters to functions such as map, filter, and reduce. Highlights the advantages of lambda functions in handling simple logical operations and their usage as parameters to various functions.', 'Lambda functions can only evaluate one expression and are not preferred for functions with multiple lines of code. Discusses the limitations of lambda functions in evaluating only one expression and their unfavorable usage for functions with multiple lines of code.', 'Comparison between a user-defined function and a lambda function in adding two numbers, showcasing the syntax and difference in approach. Provides a comparison between a user-defined function and a lambda function in adding two numbers, demonstrating the syntax and difference in approach.']}, {'end': 24409.413, 'start': 23894.571, 'title': 'Lambda functions in python', 'summary': 'Covers lambda functions in python, demonstrating how to use lambda functions for addition, multiplication, using keyword arguments, default arguments, asterisk args parameter, and with higher order functions, along with examples and results.', 'duration': 514.842, 'highlights': ['Lambda function used for addition and multiplication operations with examples. Demonstrates using lambda functions for addition and multiplication operations, showcasing the results of adding numbers and finding the product.', 'Demonstration of using keyword arguments in lambda functions with an example. Illustrates the use of keyword arguments in lambda functions through an example of multiplying specified values with a lambda function, showcasing the result.', 'Illustration of using default arguments in lambda functions with an example. Shows the usage of default arguments in lambda functions through an example of adding specified values with default arguments, showcasing the result.', 'Usage of asterisk args parameter to define and find the sum of multiple arguments with an example. Demonstrates the usage of asterisk args parameter in lambda functions to define and find the sum of multiple arguments, showcasing the result.', 'Demonstration of using lambda functions with higher order functions with examples. Illustrates the usage of lambda functions with higher order functions through examples, showcasing the results of the function composition and displaying odd or even values.']}, {'end': 25318.15, 'start': 24409.413, 'title': 'Python functions and classes', 'summary': 'Provides a tutorial on python functions, showcasing examples of lambda functions with filter and map functions, as well as the reduce function and the use of a lambda function within a user-defined function. it also introduces the concept of classes and objects in python, highlighting their attributes and instantiation.', 'duration': 908.737, 'highlights': ['Introduction to Python functions and case sensitivity The tutorial explains Python functions and demonstrates the case sensitivity of Python, providing examples of string manipulation and case-sensitive comparisons.', 'Demonstration of lambda functions with filter function The tutorial showcases the use of lambda functions with the filter function to filter a list of numbers based on a specific condition, providing examples and explaining the filtering process.', 'Illustration of lambda functions with map function The tutorial demonstrates the use of lambda functions with the map function to modify a list of numbers by performing a specific operation on each element, exemplifying the usage and output of the map function.', 'Explanation of the reduce function in Python The tutorial explains the reduce function in Python, showcasing its application to perform rolling calculations on a list, and provides examples of calculating the sum and product of numbers in a list using the reduce function.', 'Utilization of a lambda function within a user-defined function The tutorial demonstrates the usage of a lambda function within a user-defined function to calculate the value of a quadratic equation, explaining the process of creating the function and evaluating different inputs.']}, {'end': 25933.282, 'start': 25318.15, 'title': 'Classes and objects in python', 'summary': 'Discusses creating classes and objects in python, including examples of creating objects, using the init function, and modifying object properties, demonstrating how to use the self parameter, pass a doc string, and use the init function.', 'duration': 615.132, 'highlights': ['The chapter discusses creating classes and objects in Python It covers the process of creating classes and objects in Python, demonstrating the fundamental concept of object-oriented programming.', 'Examples of creating objects, using the init function, and modifying object properties The transcript provides examples of creating objects using classes, utilizing the init function to initialize object properties, and modifying object properties, showcasing practical implementation of object manipulation.', 'Demonstrating how to use the self parameter, pass a doc string, and use the init function The chapter demonstrates the usage of the self parameter in classes, passing a doc string to provide a brief description of the class, and using the init function for initializing object properties, highlighting different features and functionalities of Python classes.']}], 'duration': 3948.248, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw21985034.jpg', 'highlights': ['The chapter covers the usage of important built-in Python functions such as pow, range, round, sorted, and slice, providing examples and demonstrating their functionality.', 'The chapter covers user-defined functions in Python, including simple functions, functions with different parameters, passing arguments, default arguments, scope of variables, *args in function definitions, and finding the area of a circle and sphere.', 'Demonstrates the calculation of circle and sphere areas using a main function, showcasing the practical application of mathematical operations and function calls.', 'Lambda functions are suitable for simple logical operations and are used as parameters to functions such as map, filter, and reduce.', 'Demonstrates using lambda functions for addition and multiplication operations, showcasing the results of adding numbers and finding the product.', 'Introduction to Python functions and case sensitivity The tutorial explains Python functions and demonstrates the case sensitivity of Python, providing examples of string manipulation and case-sensitive comparisons.', 'The chapter discusses creating classes and objects in Python It covers the process of creating classes and objects in Python, demonstrating the fundamental concept of object-oriented programming.']}, {'end': 28316.335, 'segs': [{'end': 26161.579, 'src': 'embed', 'start': 26134.341, 'weight': 9, 'content': [{'end': 26144.907, 'text': 'Some major principles of object oriented programming, and then we will touch upon topics like class in Python, objects, methods, inheritance,', 'start': 26134.341, 'duration': 10.566}, {'end': 26153.233, 'text': 'the concepts of inheritance, the different type of inheritance, then the definition and examples of polymorphism, encapsulation and abstraction.', 'start': 26144.907, 'duration': 8.326}, {'end': 26161.579, 'text': 'So all these topics will be supported with examples and the relevant terminologies and definitions.', 'start': 26153.874, 'duration': 7.705}], 'summary': 'Overview of object-oriented programming principles in python including classes, objects, methods, inheritance, polymorphism, encapsulation, and abstraction.', 'duration': 27.238, 'max_score': 26134.341, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw26134341.jpg'}, {'end': 26284.152, 'src': 'embed', 'start': 26233.626, 'weight': 0, 'content': [{'end': 26236.608, 'text': 'Classes are there, there are objects, there are methods.', 'start': 26233.626, 'duration': 2.982}, {'end': 26244.713, 'text': 'Then on these classes and objects, you apply inheritance, polymorphism, encapsulation and abstraction.', 'start': 26237.388, 'duration': 7.325}, {'end': 26248.816, 'text': 'Now, what is a class?', 'start': 26247.955, 'duration': 0.861}, {'end': 26255.4, 'text': 'Class is nothing but a collection of objects, or we can say, a user-defined data type, right?', 'start': 26249.656, 'duration': 5.744}, {'end': 26266.119, 'text': "So, basically, it's a complex data type which has a collection of objects and within the objects you have primitive data types like int, string,", 'start': 26255.871, 'duration': 10.248}, {'end': 26267.5, 'text': 'float, etc.', 'start': 26266.119, 'duration': 1.381}, {'end': 26278.368, 'text': 'So a class also holds the methods, the functions which basically perform operations on these objects right?', 'start': 26268.18, 'duration': 10.188}, {'end': 26282.25, 'text': 'And also it also holds on to the attributes of the objects.', 'start': 26278.668, 'duration': 3.582}, {'end': 26284.152, 'text': "So let's see with an example right?", 'start': 26282.491, 'duration': 1.661}], 'summary': 'Classes contain objects and methods, using inheritance, polymorphism, encapsulation, and abstraction to define complex data types with attributes and methods.', 'duration': 50.526, 'max_score': 26233.626, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw26233626.jpg'}, {'end': 26519.381, 'src': 'embed', 'start': 26491.516, 'weight': 14, 'content': [{'end': 26499.021, 'text': 'You have single level in which only one child is inheriting the properties and the attributes from the parent.', 'start': 26491.516, 'duration': 7.505}, {'end': 26510.027, 'text': 'Then you have multi-level, in which first child has inherited from the class A, class B has inherited and then you have another class C,', 'start': 26499.841, 'duration': 10.186}, {'end': 26511.808, 'text': 'which is inheriting from class B.', 'start': 26510.027, 'duration': 1.781}, {'end': 26519.381, 'text': 'So this is an example of multi-level and we will be supporting All these concepts with an example in a Python notebook.', 'start': 26511.808, 'duration': 7.573}], 'summary': 'Inheritance can be single or multi-level. will illustrate with python example.', 'duration': 27.865, 'max_score': 26491.516, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw26491516.jpg'}, {'end': 27167.333, 'src': 'embed', 'start': 27127.831, 'weight': 4, 'content': [{'end': 27140.181, 'text': 'We are going to create a class parrot and define the function fly and swim.', 'start': 27127.831, 'duration': 12.35}, {'end': 27149.049, 'text': 'Now we are going to create another class.', 'start': 27146.527, 'duration': 2.522}, {'end': 27152.463, 'text': 'Mind you, there is no inheritance here.', 'start': 27150.882, 'duration': 1.581}, {'end': 27155.265, 'text': 'We are just creating an independent class called penguin.', 'start': 27152.523, 'duration': 2.742}, {'end': 27167.333, 'text': 'And same methods now, the same name fly and swim.', 'start': 27156.886, 'duration': 10.447}], 'summary': 'Creating two classes, parrot and penguin, with fly and swim methods.', 'duration': 39.502, 'max_score': 27127.831, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw27127831.jpg'}, {'end': 27396.3, 'src': 'embed', 'start': 27359.597, 'weight': 2, 'content': [{'end': 27368.31, 'text': 'so I will pass any value in the set max price and it will replace the max price which I have set during the initialization at this point.', 'start': 27359.597, 'duration': 8.713}, {'end': 27385.678, 'text': "Now let's create an object of class cars and see if I sell this, then the selling price is 9 lakh.", 'start': 27372.792, 'duration': 12.886}, {'end': 27388.819, 'text': 'What I had set at the time of initialization.', 'start': 27385.798, 'duration': 3.021}, {'end': 27396.3, 'text': "Now, what I'm trying to do is I'm trying to modify a private variable directly.", 'start': 27391.178, 'duration': 5.122}], 'summary': 'Modifying max price will change selling price to 9 lakh.', 'duration': 36.703, 'max_score': 27359.597, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw27359597.jpg'}, {'end': 27813.323, 'src': 'embed', 'start': 27788.348, 'weight': 10, 'content': [{'end': 27794.473, 'text': 'It is creating a new class that utilizes the properties and behavior of an existing class.', 'start': 27788.348, 'duration': 6.125}, {'end': 27797.494, 'text': 'So we will support this with an example.', 'start': 27795.273, 'duration': 2.221}, {'end': 27805.599, 'text': 'So, if you take a look at the syntax, the sample syntax over here, you have a base class and you have certain attributes,', 'start': 27797.814, 'duration': 7.785}, {'end': 27808.521, 'text': 'functions associated with the base class.', 'start': 27805.599, 'duration': 2.922}, {'end': 27813.323, 'text': 'And then you have a derived class in which you extend.', 'start': 27808.961, 'duration': 4.362}], 'summary': 'Creating a new class utilizing properties and behavior of an existing class, supported with an example.', 'duration': 24.975, 'max_score': 27788.348, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw27788348.jpg'}, {'end': 27986.689, 'src': 'embed', 'start': 27953.919, 'weight': 15, 'content': [{'end': 27960.162, 'text': 'So in this example, the class C is inherited the properties of class A also and class B also.', 'start': 27953.919, 'duration': 6.243}, {'end': 27965.464, 'text': 'So we will be looking at these examples when we will be running in Python.', 'start': 27960.842, 'duration': 4.622}, {'end': 27976.633, 'text': "Now, let's Take this example with a real world object, right?", 'start': 27972.348, 'duration': 4.285}, {'end': 27986.689, 'text': "Let's first try to give you a view of how we are going, what we want to explain in the inheritance with real world objects, right?", 'start': 27976.953, 'duration': 9.736}], 'summary': 'Inheritance in python allows class c to inherit properties from classes a and b. real world examples will be used to explain inheritance.', 'duration': 32.77, 'max_score': 27953.919, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw27953919.jpg'}, {'end': 28316.335, 'src': 'embed', 'start': 28279.767, 'weight': 5, 'content': [{'end': 28281.829, 'text': 'now what does this signify?', 'start': 28279.767, 'duration': 2.062}, {'end': 28294.44, 'text': 'the man class is also in editing whatever is there in homo sapiens, so man can even talk and he can even speak, right.', 'start': 28281.829, 'duration': 12.611}, {'end': 28301.085, 'text': 'so what we are going to do is first we are going to execute the function speak.', 'start': 28294.44, 'duration': 6.645}, {'end': 28316.335, 'text': 'so the the base class function got called speak and it is printing homo sapiens speaking, and also we can call the child function man talking.', 'start': 28301.085, 'duration': 15.25}], 'summary': 'The program demonstrates a man class inheriting from a base class, showcasing the ability to speak and talk.', 'duration': 36.568, 'max_score': 28279.767, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw28279767.jpg'}], 'start': 25933.282, 'title': 'Python object-oriented programming', 'summary': 'Covers various aspects of python object-oriented programming, including creating classes, objects, methods, inheritance, polymorphism, encapsulation, and abstraction. it explains the concept of inheritance, with real-world examples, and provides quantifiable data on runtime method invocation, encapsulation, hierarchical inheritance, and abstraction.', 'chapters': [{'end': 26161.579, 'start': 25933.282, 'title': 'Python class and object demo', 'summary': 'Demonstrated creating a simple class in python, creating and modifying objects, and utilizing the init method, covering topics such as object oriented programming principles, classes, objects, methods, inheritance, polymorphism, encapsulation, and abstraction.', 'duration': 228.297, 'highlights': ["The chapter demonstrated creating a simple class in Python, creating and modifying objects, and utilizing the init method. It covered creating a class named 'animal' with an init method, creating an object 'puppy' of the class, and using the greet method to print a message.", 'Object oriented programming principles, classes, objects, methods, inheritance, polymorphism, encapsulation, and abstraction were discussed. The topics covered in the chapter included major principles of object oriented programming, classes, objects, methods, inheritance, polymorphism, encapsulation, and abstraction, supported with relevant examples and terminologies.', "Examples and demonstrations were provided for using the init method in a class, modifying objects, and deleting objects. The chapter included examples and demonstrations for using the init method, modifying objects, and deleting objects using the 'del' keyword in Python."]}, {'end': 26536.312, 'start': 26165.082, 'title': 'Object-oriented programming in python', 'summary': 'Discusses the concept of object-oriented programming in python, focusing on creating objects, classes, methods, and inheritance, with examples and principles of reusability of code.', 'duration': 371.23, 'highlights': ['Object-Oriented Programming Principles The chapter explains the major principles of object-oriented programming in Python, including classes, objects, methods, and various concepts like inheritance, polymorphism, encapsulation, and abstraction.', 'Definition of Objects in Python It describes objects as instantiations of a class, comprising interrelated variables and methods, and provides examples of different objects inheriting attributes from a class and defining additional variables and methods.', 'Explanation of Methods in Python The chapter defines methods as functions within a class that operate on the attributes of the class, and emphasizes that methods define the behavior of an object, contributing to the distinction between objects with different methods.']}, {'end': 26793.542, 'start': 26536.913, 'title': 'Python oop concepts overview', 'summary': 'Covers the concepts of polymorphism, encapsulation, and abstraction in python, using examples to explain how they work, such as the behavior of the plus operator for different data types and creating a class with private attributes. it also discusses the use of abstraction to hide internal details and the concept of abstract classes.', 'duration': 256.629, 'highlights': ['Polymorphism in Python Polymorphism in Python allows a single method to perform different behaviors based on the object in which it is invoked, demonstrated through the example of the plus operator behaving differently for integer and string data types.', 'Encapsulation and Private Attributes In Python, encapsulation allows the restriction of access to methods and variables, demonstrated by using underscores or double underscores to define private attributes, which can only be used within the class and not outside.', 'Abstraction and Abstract Classes The concept of abstraction in Python involves hiding internal details and showing only functionalities, with an example of an abstract class that cannot be instantiated and provides method signatures to be implemented by child classes.']}, {'end': 27167.333, 'start': 26793.902, 'title': 'Object instantiation, method invocation, and inheritance', 'summary': 'Illustrates object instantiation, method invocation, and inheritance in python, including examples of single-level and multi-level inheritance, and polymorphism.', 'duration': 373.431, 'highlights': ['The chapter illustrates object instantiation, method invocation, and inheritance in Python. It covers the concepts of creating objects, invoking methods, and demonstrating inheritance in Python.', 'It includes examples of single-level and multi-level inheritance. The transcript contains examples of creating parent and child classes to demonstrate both single-level and multi-level inheritance.', 'The chapter also provides an example of polymorphism. It showcases how classes with different names but similar methods can exhibit polymorphism.']}, {'end': 27737.252, 'start': 27179.642, 'title': 'Object-oriented programming concepts', 'summary': 'Covers the concepts of object-oriented programming including runtime method invocation based on object instances, encapsulation, hierarchical inheritance, and abstraction, with examples and quantifiable data explaining each concept.', 'duration': 557.61, 'highlights': ['The chapter explains the concept of runtime method invocation based on object instances, demonstrating that Python decides which method to invoke based on the instance and shows that a parrot can fly but a penguin cannot fly, illustrating the concept with quantifiable data.', "The concept of encapsulation is demonstrated using a 'cars' class, showing a private variable '_max price' set to 9 lakh during initialization, a 'sell' method displaying the max price, and a 'set max price' method to modify the private variable with quantifiable data.", "The concept of hierarchical inheritance is illustrated through the creation of two child classes inherited from a single parent class 'employee', demonstrating the typical example of inheritance and its application.", "The concept of abstraction is explained by creating an abstract class 'car' with a method 'mileage' having no definition, and then creating child classes 'BMW', 'Jaguar', 'Range Rover', and 'Renault' to implement the abstract class method 'mileage' in different ways, invoking each method with quantifiable data."]}, {'end': 28316.335, 'start': 27737.892, 'title': 'Understanding inheritance in python', 'summary': 'Explains the concept of inheritance in python, including its purpose, types (single level, multi-level, hierarchical, multiple), and real-world examples, highlighting the reusability of code and the inheritance of properties and behavior from parent classes.', 'duration': 578.443, 'highlights': ['The purpose of inheritance is to provide the reusability of a code by allowing the inheritance of properties and behavior from existing classes, applicable across multiple programming languages like Python, Java, and C++.', 'Inheritance types include single level, multi-level, hierarchical, and multiple, with examples demonstrating the inheritance of attributes and properties from parent classes, such as black and white TV inheriting features from color TV, and the concept of adding new features in child classes.', "Real-world examples illustrate the concept of inheritance, such as the creation of a class 'man' inheriting attributes from 'homo sapiens', showcasing the ability of child classes to inherit and extend the functionality of parent classes."]}], 'duration': 2383.053, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw25933282.jpg', 'highlights': ['The chapter covers creating classes, objects, methods, inheritance, polymorphism, encapsulation, and abstraction in Python.', 'It explains the concept of inheritance with real-world examples and provides quantifiable data on runtime method invocation, encapsulation, hierarchical inheritance, and abstraction.', 'The chapter demonstrates creating a simple class in Python, creating and modifying objects, and utilizing the init method.', 'It discusses major principles of object-oriented programming, supported with relevant examples and terminologies.', 'The chapter explains the major principles of object-oriented programming in Python, including classes, objects, methods, and various concepts like inheritance, polymorphism, encapsulation, and abstraction.', 'It describes objects as instantiations of a class, comprising interrelated variables and methods, and provides examples of different objects inheriting attributes from a class and defining additional variables and methods.', 'The chapter defines methods as functions within a class that operate on the attributes of the class and contribute to the distinction between objects with different methods.', 'Polymorphism in Python allows a single method to perform different behaviors based on the object in which it is invoked.', 'Encapsulation in Python allows the restriction of access to methods and variables, demonstrated by using underscores or double underscores to define private attributes.', 'The concept of abstraction in Python involves hiding internal details and showing only functionalities, with an example of an abstract class that cannot be instantiated and provides method signatures to be implemented by child classes.', 'The chapter illustrates object instantiation, method invocation, and inheritance in Python.', 'It includes examples of single-level and multi-level inheritance, as well as an example of polymorphism.', 'The chapter explains the concept of runtime method invocation based on object instances and demonstrates the concept with quantifiable data.', "The concept of hierarchical inheritance is illustrated through the creation of two child classes inherited from a single parent class 'employee'.", "The concept of abstraction is explained by creating an abstract class 'car' with a method 'mileage' having no definition, and then creating child classes to implement the abstract class method 'mileage' in different ways, invoking each method with quantifiable data.", 'The purpose of inheritance is to provide the reusability of a code by allowing the inheritance of properties and behavior from existing classes, applicable across multiple programming languages like Python, Java, and C++.', 'Inheritance types include single level, multi-level, hierarchical, and multiple, with examples demonstrating the inheritance of attributes and properties from parent classes.', "Real-world examples illustrate the concept of inheritance, such as the creation of a class 'man' inheriting attributes from 'homo sapiens', showcasing the ability of child classes to inherit and extend the functionality of parent classes."]}, {'end': 29988.769, 'segs': [{'end': 28530.075, 'src': 'embed', 'start': 28464.979, 'weight': 9, 'content': [{'end': 28485.407, 'text': "so we will now create a class called calculation one in our example, and let's make a function sum, and it will return calculation x plus y.", 'start': 28464.979, 'duration': 20.428}, {'end': 28502.657, 'text': "second, calculation two, and let's create operation subtraction, and it will return x minus y.", 'start': 28485.407, 'duration': 17.25}, {'end': 28515.93, 'text': 'okay, now we will create the derived class, which is inheriting both calculation 1 and calculation 2,', 'start': 28502.657, 'duration': 13.273}, {'end': 28530.075, 'text': "and let's create its own function called multiplication.", 'start': 28515.93, 'duration': 14.145}], 'summary': 'Creating classes calculationone and calculationtwo with sum and subtraction functions, then creating a derived class with a multiplication function.', 'duration': 65.096, 'max_score': 28464.979, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw28464979.jpg'}, {'end': 28629.876, 'src': 'embed', 'start': 28581.2, 'weight': 4, 'content': [{'end': 28583.06, 'text': "it's relevant functions, right?", 'start': 28581.2, 'duration': 1.86}, {'end': 28586.361, 'text': "And that's how we are able to call them in the derived class.", 'start': 28583.88, 'duration': 2.481}, {'end': 28595.162, 'text': "Now let's take another type hierarchical inheritance.", 'start': 28591.141, 'duration': 4.021}, {'end': 28608.139, 'text': "Okay, So, in hierarchical inheritance, let's go back to our example of first.", 'start': 28600.103, 'duration': 8.036}, {'end': 28615.044, 'text': 'we have the black and white TV and we will create a function called antenna.', 'start': 28608.139, 'duration': 6.905}, {'end': 28623.451, 'text': 'Print channels are telecasted through antenna.', 'start': 28619.788, 'duration': 3.663}, {'end': 28629.876, 'text': 'Then we will create color TV.', 'start': 28626.873, 'duration': 3.003}], 'summary': 'Explains inheritance and creates functions for black and white and color tv.', 'duration': 48.676, 'max_score': 28581.2, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw28581200.jpg'}, {'end': 29071.512, 'src': 'embed', 'start': 29044.454, 'weight': 5, 'content': [{'end': 29052.779, 'text': 'this is the keyword super function which will always invoke the parent class.', 'start': 29044.454, 'duration': 8.325}, {'end': 29064.19, 'text': 'gives you the handle to the parent class and then you can invoke the relevant method and The invocation methodology will be the same and you can check the output.', 'start': 29052.779, 'duration': 11.411}, {'end': 29068.011, 'text': "It's going to be the same, but it's that the syntax is different.", 'start': 29064.63, 'duration': 3.381}, {'end': 29071.512, 'text': 'There is another keyword which is available for you to invoke the parent.', 'start': 29068.491, 'duration': 3.021}], 'summary': "The 'super' keyword allows invoking parent class methods with the same invocation methodology and different syntax.", 'duration': 27.058, 'max_score': 29044.454, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw29044454.jpg'}, {'end': 29375.625, 'src': 'embed', 'start': 29300.834, 'weight': 0, 'content': [{'end': 29311.136, 'text': 'that can traverse through iterable objects in Python, like lists, tuples, dictionaries, sets, and returns data one element at a time.', 'start': 29300.834, 'duration': 10.302}, {'end': 29319.258, 'text': 'So basically you can traverse through these lists one at a time, and then you can use it as per your custom requirement.', 'start': 29311.576, 'duration': 7.682}, {'end': 29327.5, 'text': 'But iterator as an object is available to you, is a tool available to you in order to traverse through each and every element.', 'start': 29319.738, 'duration': 7.762}, {'end': 29335.251, 'text': 'Now, They are implemented within for loops, comprehensions, generators in Python implicitly.', 'start': 29328.42, 'duration': 6.831}, {'end': 29340.855, 'text': 'They are not visible upfront, but they are hidden in plain sight.', 'start': 29335.811, 'duration': 5.044}, {'end': 29342.556, 'text': "So, basically, when you're using loops,", 'start': 29340.955, 'duration': 1.601}, {'end': 29352.304, 'text': "when you're using generators comprehensions implicitly Python is actually converting them in the backend in an iterator object and giving you the results.", 'start': 29342.556, 'duration': 9.748}, {'end': 29364.899, 'text': 'Now, what are iterables on which you can iterate? Tuples, dictionaries, sets, as I mentioned, are all iterables or iterable objects.', 'start': 29353.245, 'duration': 11.654}, {'end': 29368.581, 'text': "Other than these, you can't perform any iteration.", 'start': 29365.5, 'duration': 3.081}, {'end': 29375.625, 'text': 'If you have not created an object of list, tuple or dictionary or set, then of course your iterable will not be of any use.', 'start': 29368.841, 'duration': 6.784}], 'summary': 'Iterators in python traverse through iterable objects like lists, tuples, dictionaries, and sets, returning data one element at a time, and are implemented within for loops, comprehensions, and generators implicitly.', 'duration': 74.791, 'max_score': 29300.834, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw29300834.jpg'}, {'end': 29568.112, 'src': 'embed', 'start': 29538.062, 'weight': 2, 'content': [{'end': 29540.423, 'text': "So now I'm also going to show you a different syntax.", 'start': 29538.062, 'duration': 2.361}, {'end': 29543.684, 'text': 'This is a syntax, but the output will be same.', 'start': 29540.803, 'duration': 2.881}, {'end': 29546.925, 'text': "It's a different syntax to invoke underscore next.", 'start': 29543.804, 'duration': 3.121}, {'end': 29551.106, 'text': 'So its output is going to be same, but the syntax is only the difference over here.', 'start': 29547.445, 'duration': 3.661}, {'end': 29553.967, 'text': "So you're going to get access to the next element.", 'start': 29551.326, 'duration': 2.641}, {'end': 29559.669, 'text': 'And then my fourth element, which is 33.', 'start': 29554.868, 'duration': 4.801}, {'end': 29563.429, 'text': 'Now I have traversed through all my elements.', 'start': 29559.669, 'duration': 3.76}, {'end': 29568.112, 'text': 'now what will happen if I again do next?', 'start': 29563.429, 'duration': 4.683}], 'summary': 'Demonstrating a different syntax to access elements, including the value 33. it provides access to the next element.', 'duration': 30.05, 'max_score': 29538.062, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw29538062.jpg'}, {'end': 29853.734, 'src': 'embed', 'start': 29820.9, 'weight': 14, 'content': [{'end': 29832.785, 'text': "10, right? So this is the expected output, right? Now, another example on the same lines, I'm going to print the first 20 numbers using my iterator.", 'start': 29820.9, 'duration': 11.885}, {'end': 29841.109, 'text': 'So I am going to overwrite the iter method and underscore, underscore next method, my numbers.', 'start': 29833.446, 'duration': 7.663}, {'end': 29847.172, 'text': "Now in this underscore, underscore next method, I'm just incrementing my number y1.", 'start': 29841.549, 'duration': 5.623}, {'end': 29853.734, 'text': "not by 6 and I'm going to stop at the limit 20.", 'start': 29848.533, 'duration': 5.201}], 'summary': 'Printing 20 numbers, incrementing by 6, using iterator.', 'duration': 32.834, 'max_score': 29820.9, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw29820900.jpg'}, {'end': 29965.518, 'src': 'embed', 'start': 29909.526, 'weight': 10, 'content': [{'end': 29913.107, 'text': 'So we will see all these concepts with an example.', 'start': 29909.526, 'duration': 3.581}, {'end': 29917.228, 'text': 'Now, what is a generator in Python?', 'start': 29915.708, 'duration': 1.52}, {'end': 29926.711, 'text': 'Python generators, lets you create your own iterator functions that return the traversal object with a sequence of values.', 'start': 29918.189, 'duration': 8.522}, {'end': 29933.593, 'text': 'So basically, with iterators, you can only work on lists, tuples, or sets.', 'start': 29927.531, 'duration': 6.062}, {'end': 29939.497, 'text': 'But with generators, you can convert your functions into iterator function itself.', 'start': 29934.133, 'duration': 5.364}, {'end': 29943.24, 'text': 'And we will see that when we will be working on a Jupyter Notebook.', 'start': 29940.058, 'duration': 3.182}, {'end': 29952.427, 'text': 'Now, another important feature in a generator function is that a yield statement is used rather than a return statement.', 'start': 29944.761, 'duration': 7.666}, {'end': 29958.172, 'text': 'So, basically, the return statement terminates a function entirely.', 'start': 29953.068, 'duration': 5.104}, {'end': 29965.518, 'text': 'if you use it within the function and you know, basically return from the statement while the yield statement pauses the function.', 'start': 29958.172, 'duration': 7.346}], 'summary': 'Python generators allow for creation of iterator functions with a sequence of values, using yield statement instead of return.', 'duration': 55.992, 'max_score': 29909.526, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw29909526.jpg'}], 'start': 28316.335, 'title': 'Python inheritance and iteration', 'summary': 'Covers types of inheritance in python such as single, multilevel, and multiple inheritance. it also explains inheritance and the init function, python class inheritance and iterators, and python iterator and generator concepts, providing comprehensive insights and examples of their functionalities.', 'chapters': [{'end': 28581.2, 'start': 28316.335, 'title': 'Types of inheritance in python', 'summary': 'Explains the concept of single, multilevel, and multiple inheritance in python, where it highlights the ability of child classes to inherit features from parent classes, with examples of the functionality and operations that can be performed through the inheritance.', 'duration': 264.865, 'highlights': ['The chapter explains the concept of single, multilevel, and multiple inheritance in Python, highlighting the ability of child classes to inherit features from parent classes.', 'An example of multilevel inheritance is provided, demonstrating how a child class inherits features from both parent and grandparent classes, enabling it to perform multiple operations.', 'The concept of multiple inheritance is illustrated with an example, where the derived class inherits from two parent classes, allowing it to perform various operations.']}, {'end': 28998.368, 'start': 28581.2, 'title': 'Inheritance and init function in python', 'summary': 'Explains hierarchical inheritance in python, demonstrating how various tv classes inherit features from the base class and introduces the init function with an example of inheritance in python.', 'duration': 417.168, 'highlights': ['The chapter explains hierarchical inheritance in Python, demonstrating how various TV classes inherit features from the base class. The example illustrates how color TV, Wi-Fi LED TV, and Smart TV all inherit features from the base class of black and white TV.', 'The concept of the init function is introduced with an example of inheritance in Python. The example showcases the use of the init function as a constructor in Python, demonstrating how it is called by default when instantiating an object and how it can be used in child classes to invoke the constructor of the parent class.']}, {'end': 29627.988, 'start': 29001.889, 'title': 'Python class inheritance and iterators', 'summary': 'Covers python class inheritance using super keyword for parent class invocation, issubclass function to check class inheritance, isinstance function to check object instance, and python iterators which traverse through iterable objects and raise stop iteration exception when reaching the end, with examples of custom iterators and handling stop iteration exception.', 'duration': 626.099, 'highlights': ['Python iterators can traverse through iterable objects like lists, tuples, dictionaries, sets, and return data one element at a time. Iterator can traverse through lists, tuples, dictionaries, sets, and returns data one element at a time.', 'The super keyword in Python invokes the parent class, allowing for invocation of relevant methods with a different syntax. The super keyword invokes the parent class, enabling invocation of relevant methods with different syntax.', 'The issubclass function in Python helps in checking which class is a subclass of another class, providing a way to determine class inheritance. The issubclass function helps in checking which class is a subclass of another, determining class inheritance.', 'The isinstance function in Python determines whether an object is an instance of a particular class, offering a way to check object instance. The isinstance function determines whether an object is an instance of a specific class, providing a way to check object instance.']}, {'end': 29988.769, 'start': 29627.988, 'title': 'Python iterator and generator concepts', 'summary': 'Explores python iterator concepts, including example of string iteration and custom iterator creation, and delves into generator functions, their advantages, and usage of yield statement, emphasizing the importance of creating custom iterators and understanding the utility of generators.', 'duration': 360.781, 'highlights': ['Python iterators internally invoke iter and next methods for string iteration, illustrating implicit implementation for string iterators. Python internally invokes iter and next methods for string iteration, demonstrating implicit implementation for string iterators.', 'Demonstrates the difference between using an iterator and not using one while accessing elements in a list, emphasizing the importance of iterators for efficient traversal through a list. Illustrates the difference between using an iterator and not using one while accessing elements in a list, highlighting the importance of iterators for efficient traversal through a list.', 'Shows the process of creating a custom iterator, overriding the init, itr, and next methods, and explains the implementation of the custom iterator to traverse through a specified range of numbers. Demonstrates the creation of a custom iterator by overriding init, itr, and next methods, and explains the implementation of the custom iterator to traverse through a specified range of numbers.', 'Prints the first 20 numbers using a custom iterator, showcasing the usage and functionality of the custom iterator to generate a sequence of values within a specified limit. Prints the first 20 numbers using a custom iterator, showcasing the usage and functionality of the custom iterator to generate a sequence of values within a specified limit.', 'Introduces Python generators, highlighting the capability to create iterator functions and convert functions into iterator function itself, extending the functionality beyond lists, tuples, or sets. Introduces Python generators, highlighting the capability to create iterator functions and convert functions into iterator function itself, extending the functionality beyond lists, tuples, or sets.', 'Explains the usage of yield statement in generator functions, emphasizing its ability to pause the function, holding its states and variables, and the significance in generating pipelines. Explains the usage of yield statement in generator functions, emphasizing its ability to pause the function, holding its states and variables, and the significance in generating pipelines.']}], 'duration': 1672.434, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw28316335.jpg', 'highlights': ['The chapter explains the concept of single, multilevel, and multiple inheritance in Python, highlighting the ability of child classes to inherit features from parent classes.', 'An example of multilevel inheritance is provided, demonstrating how a child class inherits features from both parent and grandparent classes, enabling it to perform multiple operations.', 'The concept of multiple inheritance is illustrated with an example, where the derived class inherits from two parent classes, allowing it to perform various operations.', 'The chapter explains hierarchical inheritance in Python, demonstrating how various TV classes inherit features from the base class.', 'The concept of the init function is introduced with an example of inheritance in Python, showcasing the use of the init function as a constructor in Python.', 'Python iterators can traverse through iterable objects like lists, tuples, dictionaries, sets, and return data one element at a time.', 'The super keyword in Python invokes the parent class, allowing for invocation of relevant methods with a different syntax.', 'The issubclass function in Python helps in checking which class is a subclass of another class, providing a way to determine class inheritance.', 'The isinstance function in Python determines whether an object is an instance of a particular class, offering a way to check object instance.', 'Python iterators internally invoke iter and next methods for string iteration, illustrating implicit implementation for string iterators.', 'Demonstrates the difference between using an iterator and not using one while accessing elements in a list, emphasizing the importance of iterators for efficient traversal through a list.', 'Shows the process of creating a custom iterator, overriding the init, itr, and next methods, and explains the implementation of the custom iterator to traverse through a specified range of numbers.', 'Prints the first 20 numbers using a custom iterator, showcasing the usage and functionality of the custom iterator to generate a sequence of values within a specified limit.', 'Introduces Python generators, highlighting the capability to create iterator functions and convert functions into iterator function itself, extending the functionality beyond lists, tuples, or sets.', 'Explains the usage of yield statement in generator functions, emphasizing its ability to pause the function, holding its states and variables, and the significance in generating pipelines.']}, {'end': 31905.648, 'segs': [{'end': 30175.032, 'src': 'embed', 'start': 30139.996, 'weight': 5, 'content': [{'end': 30146.698, 'text': "So now let's quickly jump to our examples, which we are going to support for each of these concepts.", 'start': 30139.996, 'duration': 6.702}, {'end': 30153.1, 'text': "Now let's start by basically creating our first generator function.", 'start': 30147.138, 'duration': 5.962}, {'end': 30163.563, 'text': "I'm going to create a variable and initialize it with one, and I'm going to do a print.", 'start': 30155.681, 'duration': 7.882}, {'end': 30170.35, 'text': 'This is just for my logging and showing on the console that where we have reached.', 'start': 30164.847, 'duration': 5.503}, {'end': 30175.032, 'text': "And then I'm going to say yield n.", 'start': 30171.09, 'duration': 3.942}], 'summary': 'Creating a generator function, initializing with one, and yielding n.', 'duration': 35.036, 'max_score': 30139.996, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw30139996.jpg'}, {'end': 30330.26, 'src': 'embed', 'start': 30267.509, 'weight': 0, 'content': [{'end': 30278.692, 'text': 'i have not created any tuple, but i am basically traversing through the variables, through the sequence of the variables within my generator,', 'start': 30267.509, 'duration': 11.183}, {'end': 30285.399, 'text': 'and if i again print it this is my last this has been created last.', 'start': 30278.692, 'duration': 6.707}, {'end': 30291.021, 'text': 'so all the checkpoints within my generator have been executed.', 'start': 30285.399, 'duration': 5.622}, {'end': 30295.442, 'text': 'now, the same example which i have over here.', 'start': 30291.021, 'duration': 4.421}, {'end': 30299.283, 'text': 'let me call it in a loop.', 'start': 30295.442, 'duration': 3.841}, {'end': 30310.271, 'text': "okay, so what i'm gonna do is i'm gonna remove these invocations and just replace it with a loop call right?", 'start': 30299.283, 'duration': 10.988}, {'end': 30314.032, 'text': 'So this generator functions remain as is.', 'start': 30310.851, 'duration': 3.181}, {'end': 30325.238, 'text': 'Now, instead of writing my next function three times, I am going to just invoke my generator in the for loop,', 'start': 30314.673, 'duration': 10.565}, {'end': 30330.26, 'text': 'and this will get invoked the number of times I have yield in my generator.', 'start': 30325.238, 'duration': 5.022}], 'summary': 'Traversing variables in generator, invoking in loop, reducing redundant code.', 'duration': 62.751, 'max_score': 30267.509, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw30267509.jpg'}, {'end': 31686.414, 'src': 'embed', 'start': 31648.129, 'weight': 2, 'content': [{'end': 31658.292, 'text': 'so this simply learn is for the local scope S3, that is this one, and outside the function we have printed S3 again.', 'start': 31648.129, 'duration': 10.163}, {'end': 31661.933, 'text': 'so simply learn twice.', 'start': 31658.292, 'duration': 3.641}, {'end': 31670.507, 'text': 'alright. now let me show you another example about using the global scope.', 'start': 31661.933, 'duration': 8.574}, {'end': 31674.149, 'text': 'create a variable msg1.', 'start': 31670.507, 'duration': 3.642}, {'end': 31677.25, 'text': "let's say my message is welcome.", 'start': 31674.149, 'duration': 3.101}, {'end': 31686.414, 'text': 'to simply learn python programming.', 'start': 31677.25, 'duration': 9.164}], 'summary': 'Demonstrating local and global scope in python with s3 and msg1 variables.', 'duration': 38.285, 'max_score': 31648.129, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw31648129.jpg'}], 'start': 29989.609, 'title': 'Generator functions and pipelining', 'summary': 'Discusses generator functions, highlighting the advantages of using generator pipelines for breaking complex processing into smaller pieces and showcases the creation of a pipeline using generators to efficiently perform calculations, resulting in an output of 4895.', 'chapters': [{'end': 30175.032, 'start': 29989.609, 'title': 'Generator functions and pipelining', 'summary': 'Discusses generator functions, highlighting that yield statement holds the processing of the function at that point, enabling the generation of infinite sequences and efficient memory usage, and emphasizes the advantages of using generator pipelines for breaking complex processing into smaller pieces.', 'duration': 185.423, 'highlights': ['Generator functions use the yield statement to hold the processing of the function at a certain point, allowing it to start from where it left off upon invocation, compared to the general exit behavior of the return statement.', 'Generators are easy to implement and memory efficient, enabling the generation of infinite sequences without needing to provide range values, making them ideal for processing huge data sets in resource-constrained environments.', 'Generator pipelines are advantageous for breaking complex processing into smaller pieces, simplifying the code and enabling invocation in a pipeline fashion.', 'The next function is crucial for retrieving elements from a generator object and interacting with the generate function, demonstrating the interaction with generator functions.']}, {'end': 30496.668, 'start': 30175.032, 'title': 'Generator functions and return statement in python', 'summary': 'Explains the concept of generator functions in python, including their behavior like a loop or an iterator, and the impact of using a return statement within a generator, demonstrated with code examples and the resulting output.', 'duration': 321.636, 'highlights': ['Generator functions demonstrate behavior like a loop or an iterator, allowing traversal through variables without creating lists or tuples.', "Using a return statement in a generator can cause the generator to exit prematurely, resulting in a 'StopIteration' error when attempting to access elements beyond the point of return.", 'Demonstrating the impact of a return statement within a generator by showing the difference in output when the return statement is present and when it is commented out.']}, {'end': 30692.85, 'start': 30496.668, 'title': 'Generator traversal in python', 'summary': 'Explains the creation of a generator in python and demonstrates the differences in output and traversal methods between a list and a generator, emphasizing the use of next and for loop to traverse the generator and the potential exceptions when exceeding the length.', 'duration': 196.182, 'highlights': ['The for loop and next function are used to traverse the generator and obtain the expected output, emphasizing the need to print each element individually to avoid getting the generator object.', 'The demonstration of potential exceptions when exceeding the length of a generator, highlighting the importance of taking care of the number of elements and using for loop or next function to avoid StopIteration exceptions.', 'Creating a generator in Python to generate 2 to the power n, showcasing the practical application of generators for mathematical operations.']}, {'end': 30977.572, 'start': 30692.85, 'title': 'Generators and pipelines in python', 'summary': 'Explores the concept of generators, demonstrating how to create and use them to generate infinite numbers, and showcases the creation of a pipeline using generators to efficiently perform calculations, resulting in an output of 4895.', 'duration': 284.722, 'highlights': ['Demonstrating the creation of a pipeline using generators to efficiently perform calculations The chapter showcases the creation of a pipeline using generators to efficiently perform calculations, resulting in an output of 4895.', 'Creating a generator to print an infinite number of even numbers The chapter discusses creating a generator to print an infinite number of even numbers, demonstrating the ability to generate an infinite sequence of numbers.', 'Exploring the concept of generators and their ability to generate infinite numbers The chapter explores the concept of generators, demonstrating how to create and use them to generate infinite numbers.']}, {'end': 31137.408, 'start': 30977.572, 'title': 'Python scope and fibonacci example', 'summary': 'Introduces the concept of scope in python, explaining the accessibility of variables, functions, and objects within a program, and demonstrates the generation of the first five fibonacci numbers using a generator and a loop.', 'duration': 159.836, 'highlights': ['The chapter discusses the scope in Python, explaining the accessibility of variables, functions, and objects within a program.', 'A demonstration of generating the first five Fibonacci numbers using a generator and a loop is provided.', 'The Fibonacci numbers 0, 1, 1, 2, and 3 are generated using a generator and a loop.', 'The concept of scope in Python is defined as the area or region of a program where variables, functions, and objects can be accessed.']}, {'end': 31905.648, 'start': 31138.601, 'title': 'Python scopes and variables', 'summary': 'Explains global, local, enclosed, and built-in scopes in python, demonstrating how to define and access variables within different scopes, with examples of using non-local and global keywords, and illustrating the built-in scope with keywords, functions, and exceptions.', 'duration': 767.047, 'highlights': ['The chapter explains the global, local, enclosed, and built-in scopes in Python. It covers the different scopes in Python, providing an overview of the scope concepts that form the basis of the discussion.', 'Demonstration of defining and accessing variables within different scopes in Python. The transcript illustrates the access and definition of variables in global, local, and enclosed scopes, showcasing how variables are accessed within different functions and scopes.', 'Examples of using non-local and global keywords to refer to variables in different scopes. The transcript provides examples of using non-local and global keywords to refer to variables in enclosed and global scopes, demonstrating how these keywords affect the scope of variables.', 'Illustration of the built-in scope in Python with keywords, functions, and exceptions. It demonstrates the built-in scope in Python, highlighting that it contains names such as keywords, functions, exceptions, and other attributes that are built into Python.']}], 'duration': 1916.039, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw29989609.jpg', 'highlights': ['Generator pipelines are advantageous for breaking complex processing into smaller pieces, simplifying the code and enabling invocation in a pipeline fashion.', 'Generators are easy to implement and memory efficient, enabling the generation of infinite sequences without needing to provide range values, making them ideal for processing huge data sets in resource-constrained environments.', 'Demonstrating the creation of a pipeline using generators to efficiently perform calculations, resulting in an output of 4895.', 'Generator functions use the yield statement to hold the processing of the function at a certain point, allowing it to start from where it left off upon invocation, compared to the general exit behavior of the return statement.', 'The chapter discusses the scope in Python, explaining the accessibility of variables, functions, and objects within a program.', 'Creating a generator in Python to generate 2 to the power n, showcasing the practical application of generators for mathematical operations.']}, {'end': 34528.875, 'segs': [{'end': 31942.433, 'src': 'embed', 'start': 31907.657, 'weight': 3, 'content': [{'end': 31917.54, 'text': 'So this example is a bit different from the previous few examples that we saw on local scope, enclosed scope and global scope.', 'start': 31907.657, 'duration': 9.883}, {'end': 31926.543, 'text': "So here I'm going to import pi from the math module.", 'start': 31918.16, 'duration': 8.383}, {'end': 31930.844, 'text': "So I'll say from math import pi.", 'start': 31926.883, 'duration': 3.961}, {'end': 31942.433, 'text': 'So this example includes global scope, enclosed scope as well as local scope and of course we have the built-in scope as well.', 'start': 31934.147, 'duration': 8.286}], 'summary': 'Example demonstrates global, enclosed, local scopes with imported pi from math module.', 'duration': 34.776, 'max_score': 31907.657, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw31907657.jpg'}, {'end': 33712.603, 'src': 'embed', 'start': 33684.935, 'weight': 2, 'content': [{'end': 33687.577, 'text': "So we're going to start off with just taking an example of Lambda.", 'start': 33684.935, 'duration': 2.642}, {'end': 33696.352, 'text': "So here is my list of four elements 10, 35, 50, and 20, and I'm adding the numbers in this list.", 'start': 33688.297, 'duration': 8.055}, {'end': 33699.935, 'text': 'okay, so so the map function is not going to.', 'start': 33696.352, 'duration': 3.583}, {'end': 33706.259, 'text': 'the reduce function is not going to add the numbers to itself, but to the subsequent number in the list.', 'start': 33699.935, 'duration': 6.324}, {'end': 33708.781, 'text': 'right. so what is the expected output?', 'start': 33706.259, 'duration': 2.522}, {'end': 33712.603, 'text': 'right, the expected output is 10 plus 35, 45 plus 50, 95 plus 20, 115.', 'start': 33708.781, 'duration': 3.822}], 'summary': 'Discussion on lambda, map, and reduce functions with an example of adding numbers in a list.', 'duration': 27.668, 'max_score': 33684.935, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw33684935.jpg'}, {'end': 33942.107, 'src': 'embed', 'start': 33914.224, 'weight': 4, 'content': [{'end': 33922.991, 'text': 'Exception handling means you generate a message in correspondence to the occurrence of the error and take the right step to handle it.', 'start': 33914.224, 'duration': 8.767}, {'end': 33927.355, 'text': 'So now an exception has occurred, but you need to handle it.', 'start': 33923.552, 'duration': 3.803}, {'end': 33934.861, 'text': 'Now, by handling we mean that you need to throw a meaningful message, as I said earlier,', 'start': 33928.075, 'duration': 6.786}, {'end': 33942.107, 'text': 'and then you might need to navigate the program into the right direction or take some certain corrective actions.', 'start': 33934.861, 'duration': 7.246}], 'summary': 'Exception handling generates meaningful messages and takes corrective actions to handle errors.', 'duration': 27.883, 'max_score': 33914.224, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw33914224.jpg'}, {'end': 33985.463, 'src': 'embed', 'start': 33957.947, 'weight': 1, 'content': [{'end': 33966.672, 'text': 'Now compile time errors are the errors which any programming compiler or Python compiler will show you while you are compiling your program.', 'start': 33957.947, 'duration': 8.725}, {'end': 33977.878, 'text': 'So it could be because of the syntax, spacing, indentation, or you are using wrong keywords, all those will get captured at the compile time.', 'start': 33967.192, 'duration': 10.686}, {'end': 33980.139, 'text': 'Logical errors.', 'start': 33978.819, 'duration': 1.32}, {'end': 33985.463, 'text': 'you know you have not used the correct syntax around logical operators like AND or OR,', 'start': 33980.139, 'duration': 5.324}], 'summary': 'Compile time errors are identified by the compiler during program compilation, capturing syntax, spacing, indentation, and incorrect keywords. logical errors involve improper usage of logical operators like and or or.', 'duration': 27.516, 'max_score': 33957.947, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw33957947.jpg'}, {'end': 34285.708, 'src': 'embed', 'start': 34254.982, 'weight': 0, 'content': [{'end': 34259.166, 'text': 'You can capture the multiple exceptions, add it to a tuple and throw it away.', 'start': 34254.982, 'duration': 4.184}, {'end': 34269.314, 'text': "Okay, so now let's take a look at certain examples which we want to run in order for better understanding of exception handling.", 'start': 34259.706, 'duration': 9.608}, {'end': 34279.222, 'text': 'Now, throughout my exercise, I am going to focus on divide by zero error, which we are easily able to simulate.', 'start': 34271.656, 'duration': 7.566}, {'end': 34285.708, 'text': "So I'm going to mostly show you how we can capture a divide by zero error.", 'start': 34279.883, 'duration': 5.825}], 'summary': 'Demonstrates capturing and handling divide by zero error in python.', 'duration': 30.726, 'max_score': 34254.982, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw34254982.jpg'}], 'start': 31907.657, 'title': 'Python modules, scope, math, and exception handling', 'summary': 'Covers global, enclosed, local, and built-in scopes in python, python modules for reusability and organization, math module with built-in functions, and exception handling, including types of errors, syntax, and best practices.', 'chapters': [{'end': 32178.714, 'start': 31907.657, 'title': 'Python module and scope example', 'summary': 'Covers the usage of global, enclosed, local, and built-in scopes in python, demonstrating the import of pi from the math module and its impact on variable scopes, while also discussing the concept of python modules and their reusability in programs.', 'duration': 271.057, 'highlights': ['The built-in scope is utilized to access the pi value imported from the math module, demonstrating the impact of importing modules on variable scopes.', 'The example showcases the usage of global scope, enclosed scope, local scope, and built-in scope in Python, providing a comprehensive understanding of variable scopes in the context of module import.', 'Python modules are described as Python files with .py extension containing reusable code statements and definitions, emphasizing their role in creating reusable code across different programs.']}, {'end': 32867.629, 'start': 32178.714, 'title': 'Python modules and reusability', 'summary': 'Discusses the importance of using python modules to organize code, enable reusability, and ease complex tasks in a project, demonstrating the creation of user-defined modules and various methods of importing modules.', 'duration': 688.915, 'highlights': ['Python modules enable reusability and ease complex tasks in a project by organizing code and creating user-defined modules, which is essential for large teams with different developers working on different modules. The chapter emphasizes that Python modules provide flexibility to organize code, enable reusability, and ease complex tasks in a project, particularly in scenarios involving large teams with different developers working on different modules.', 'The chapter explains the creation of user-defined modules to centralize common and reusable functions and classes, making it easier to maintain and debug the code. It is highlighted that user-defined modules are created to centralize common and reusable functions and classes, making it easier to maintain and debug the code.', 'Various methods of importing modules, including importing all classes and functions, giving an alias for simpler reference, importing specific functions or classes, and importing everything in the module, are demonstrated. The chapter demonstrates five different ways to import modules, including importing all classes and functions, giving an alias for simpler reference, importing specific functions or classes, and importing everything in the module.', "The chapter presents a practical example of creating a Python module 'calculations.py' with functions for addition, multiplication, division, prime number check, and anagram check, showcasing their invocation and usage in Python code. A practical example of creating a Python module 'calculations.py' with functions for addition, multiplication, division, prime number check, and anagram check is presented, showcasing their invocation and usage in Python code.", 'The chapter demonstrates the explicit importing of specific variables and functions from a module, showing how to use them directly with their aliases. The chapter demonstrates the explicit importing of specific variables and functions from a module, showing how to use them directly with their aliases.']}, {'end': 33238.04, 'start': 32867.629, 'title': 'Python math module and built-in functions', 'summary': 'Introduces the math module in python, showcasing various built-in functions like power, remainder, and square root, and then delves into the map, filter, and reduce functions, explaining their syntax and benefits in programming in python.', 'duration': 370.411, 'highlights': ['The math module in Python provides various built-in functions like power, remainder, and square root, demonstrated with examples such as math 2 to the power 8 resulting in 256. The math module in Python provides various built-in functions like power, remainder, and square root, demonstrated with examples such as math 2 to the power 8 resulting in 256.', 'Explains the map, filter, and reduce functions in Python, detailing their syntax and benefits in programming, including the ability to use lambda functions to simplify code. Explains the map, filter, and reduce functions in Python, detailing their syntax and benefits in programming, including the ability to use lambda functions to simplify code.', 'The filter function in Python is designed to reduce the size of iterables based on specified conditions, illustrated with an example of returning values greater than 5 from a set of iterables. The filter function in Python is designed to reduce the size of iterables based on specified conditions, illustrated with an example of returning values greater than 5 from a set of iterables.']}, {'end': 33780.842, 'start': 33245.663, 'title': 'Python: map, filter, and reduce functions', 'summary': 'Explains how to use map, filter, and reduce functions in python to perform mathematical and string operations on iterable lists, with examples of adding, multiplying, filtering, and reducing numbers and strings.', 'duration': 535.179, 'highlights': ['The map function adds the numbers to itself, resulting in the output as expected, 4 plus 4, 6 plus 6, 8 plus 8, 9 plus 9. The map function is used to add the numbers in the list to themselves, resulting in the expected output of 4 plus 4, 6 plus 6, 8 plus 8, 9 plus 9.', 'The filter function returns only numbers greater than 5 in the list, with examples using both an explicit function and a lambda function. The filter function is used to return only numbers greater than 5 in the list, demonstrated by both an explicit function and a lambda function.', 'The reduce function adds the numbers in the list in an orderly fashion, such as 10 plus 35, 45 plus 50, 95 plus 20, resulting in the output of 115. The reduce function adds the numbers in the list in an orderly fashion, resulting in the output of 10 plus 35, 45 plus 50, 95 plus 20, and a final result of 115.']}, {'end': 34528.875, 'start': 33783.649, 'title': 'Exception handling in python', 'summary': 'Covers the need for exception handling in programming, types of errors, and how exception handling works in python, highlighting the importance of handling runtime errors and providing insights into the syntax and best practices. it also emphasizes the points to remember, such as using try blocks without except blocks, handling multiple exceptions, and capturing exception objects. examples demonstrate the handling of divide by zero error and different approaches to exception handling.', 'duration': 745.226, 'highlights': ['The chapter covers the need for exception handling in programming, highlighting the importance of handling runtime errors and providing insights into the syntax and best practices.', 'It explains the types of errors in programming - compile time errors, logical errors, and runtime errors, emphasizing the critical nature of handling runtime errors in production scenarios.', 'The chapter provides insights into how exception handling works in Python, detailing the syntax and the use of try, except, else, and finally blocks, emphasizing the importance of releasing resources in the finally block and capturing errors in the except block.', 'The points to remember section emphasizes various practices, such as writing try blocks without any except block, using multiple except blocks to handle different exceptions, and capturing exception objects, providing valuable insights into best practices for exception handling.', 'The examples demonstrate the handling of divide by zero error, showcasing different approaches to exception handling and the importance of capturing and handling specific exceptions.']}], 'duration': 2621.218, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw31907657.jpg', 'highlights': ['Python modules enable reusability and ease complex tasks in a project by organizing code and creating user-defined modules, essential for large teams.', 'The chapter demonstrates five different ways to import modules, including importing all classes and functions, giving an alias for simpler reference, importing specific functions or classes, and importing everything in the module.', 'The math module in Python provides various built-in functions like power, remainder, and square root, demonstrated with examples such as math 2 to the power 8 resulting in 256.', 'Explains the map, filter, and reduce functions in Python, detailing their syntax and benefits in programming, including the ability to use lambda functions to simplify code.', 'The chapter covers the need for exception handling in programming, highlighting the importance of handling runtime errors and providing insights into the syntax and best practices.']}, {'end': 35538.542, 'segs': [{'end': 34575.346, 'src': 'embed', 'start': 34529.915, 'weight': 3, 'content': [{'end': 34542.778, 'text': "So I'm going to take my previous code and here I am capturing the exception but also printing the exception object.", 'start': 34529.915, 'duration': 12.863}, {'end': 34562.079, 'text': 'So what has happened is I have printed the exception of a message, a custom message, plus I have printed the exception object.', 'start': 34553.035, 'duration': 9.044}, {'end': 34575.346, 'text': "Okay Now I'm going to take the same example, but I'm not going to generate an exception.", 'start': 34564.281, 'duration': 11.065}], 'summary': 'Code captures and prints exception message and object, and tests without generating exception.', 'duration': 45.431, 'max_score': 34529.915, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw34529915.jpg'}, {'end': 34698.573, 'src': 'embed', 'start': 34667.839, 'weight': 1, 'content': [{'end': 34673.261, 'text': 'as I said earlier, you can have one try but two except blocks, which is permissible.', 'start': 34667.839, 'duration': 5.422}, {'end': 34682.85, 'text': 'Now, one thing is that you know you, this exception, print A by Z, came, went through both the except blocks,', 'start': 34674.969, 'duration': 7.881}, {'end': 34688.951, 'text': 'except this exception and this exception, though this exception is not divided by zero error.', 'start': 34682.85, 'duration': 6.101}, {'end': 34698.573, 'text': 'So, therefore, therefore, in this A variable nothing came in, but in the B variable the name error was definitely captured,', 'start': 34689.431, 'duration': 9.142}], 'summary': 'You can have one try but two except blocks, capturing a and b variables.', 'duration': 30.734, 'max_score': 34667.839, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw34667839.jpg'}, {'end': 34761.458, 'src': 'embed', 'start': 34714.292, 'weight': 0, 'content': [{'end': 34729.464, 'text': "okay, now let's take another example, where we are going to have two except blocks, and out of these two only one will get executed.", 'start': 34714.292, 'duration': 15.172}, {'end': 34743.247, 'text': 'okay, so there is no type error exception.', 'start': 34740.325, 'duration': 2.922}, {'end': 34747.85, 'text': 'so that, except log, did not got executed, but only zero division error is there.', 'start': 34743.247, 'duration': 4.603}, {'end': 34754.754, 'text': 'so only that got printed.', 'start': 34747.85, 'duration': 6.904}, {'end': 34758.356, 'text': 'now you can explicitly also raise an exception.', 'start': 34754.754, 'duration': 3.602}, {'end': 34761.458, 'text': "it's not like you just have to wait for a runtime exception.", 'start': 34758.356, 'duration': 3.102}], 'summary': 'In a python example, one out of two except blocks gets executed due to a zero division error. it is also possible to explicitly raise an exception.', 'duration': 47.166, 'max_score': 34714.292, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw34714292.jpg'}, {'end': 34865.891, 'src': 'embed', 'start': 34835.694, 'weight': 2, 'content': [{'end': 34841.795, 'text': 'Now file handling in Python performs functions such as creating, reading, updating and deleting.', 'start': 34835.694, 'duration': 6.101}, {'end': 34848.017, 'text': 'So you can perform the basic CRUD operations using the file handling functions and operators.', 'start': 34842.575, 'duration': 5.442}, {'end': 34853.789, 'text': 'Now in Python file operation takes place in the following order.', 'start': 34850.168, 'duration': 3.621}, {'end': 34856.229, 'text': 'In order to work on a file,', 'start': 34854.649, 'duration': 1.58}, {'end': 34865.891, 'text': 'you have to first open file that is the first and foremost step and then you can perform any read or write operation and then you have to close the file.', 'start': 34856.229, 'duration': 9.662}], 'summary': 'Python file handling allows crud operations: create, read, update, delete. operations must follow open-read/write-close sequence.', 'duration': 30.197, 'max_score': 34835.694, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw34835694.jpg'}], 'start': 34529.915, 'title': 'Python file handling', 'summary': 'Covers handling python exceptions, including capturing, printing, and raising exceptions, basics of file handling in python, different modes of file handling, and working with files in jupyter notebook, with essential file operations and their importance.', 'chapters': [{'end': 34784.002, 'start': 34529.915, 'title': 'Handling python exceptions', 'summary': 'Explains handling python exceptions, including capturing, printing, and raising exceptions, with examples of handling multiple exceptions and generating custom exceptions.', 'duration': 254.087, 'highlights': ['The chapter explains how to capture and print exceptions in Python, including examples of capturing exceptions, printing exception objects, and handling multiple exceptions.', 'The examples illustrate capturing exceptions such as division by zero and undefined name error, with the explanation of how multiple except blocks work in Python.', 'The chapter also demonstrates how to explicitly raise exceptions in Python, with examples of raising exceptions based on certain conditions and using assertion error.']}, {'end': 34981.989, 'start': 34788.024, 'title': 'Python file handling basics', 'summary': 'Explains the basics of file handling in python, covering topics such as file operations, modes for opening files, and the order of file operations, highlighting the importance of open, read, write, and close operations in file handling.', 'duration': 193.965, 'highlights': ['File handling in Python involves functions such as creating, reading, updating, and deleting, enabling basic CRUD operations with files. Python file handling performs functions such as creating, reading, updating, and deleting, allowing basic CRUD operations with files.', 'The primary order of file operations in Python includes opening the file, performing read or write operations, and then closing the file. In Python, file operations follow the sequence of opening the file, performing read or write operations, and then closing the file.', 'Different modes for file operations in Python include read mode, append mode, write mode, create mode, text mode, and binary mode, each serving distinct file handling purposes. Python offers various modes for file operations such as read, append, write, create, text, and binary modes, each serving unique file handling purposes.']}, {'end': 35129.484, 'start': 34981.989, 'title': 'File handling in python', 'summary': 'Discusses the process of file handling in python, covering the creation, opening, updating, and closing of files, and the different modes of file handling, including text and binary files, with a focus on the advantages of using files and the different operations that can be performed on files.', 'duration': 147.495, 'highlights': ['There are two types of files in python, text file and binary file, with text files storing data in characters and strings, and binary files storing data in the form of bytes. Text files store data in characters and strings, while binary files store data in the form of bytes, allowing for different extensions and readability by other utilities or softwares.', 'The advantages of using files include data permanence, the ability to share stored data, and the capability to update the data by appending, overriding, removing, or deleting the file. Using files offers advantages such as data permanence, shareability, and the ability to perform operations like appending, overriding, removing, or deleting the file.', 'The process of file handling in Python involves creating, opening, updating, and closing files using the open function and different modes for interacting with text and binary files. The process of file handling includes creating, opening, updating, and closing files using the open function and different modes for text and binary files.']}, {'end': 35538.542, 'start': 35131.545, 'title': 'Working with files in jupyter notebook', 'summary': 'Covers reading and writing files in python, demonstrating methods such as file read, read line, read lines, and file write, with examples and explanations.', 'duration': 406.997, 'highlights': ['The file.read method reads the entire file, while file.read(n) reads the first n characters of the first line, showcasing the difference between the two methods.', 'The file.readline method allows reading one line at a time, distinguishing it from file.read, which reads the entire file at once, demonstrating different ways of reading a file.', 'The file.readlines method prints an array with each line as an element, showcasing how to read all lines of a file one by one, providing practical understanding of file manipulation.']}], 'duration': 1008.627, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw34529915.jpg', 'highlights': ['The chapter explains how to capture and print exceptions in Python, including examples of capturing exceptions, printing exception objects, and handling multiple exceptions.', 'Different modes for file operations in Python include read mode, append mode, write mode, create mode, text mode, and binary mode, each serving distinct file handling purposes.', 'Using files offers advantages such as data permanence, shareability, and the ability to perform operations like appending, overriding, removing, or deleting the file.', 'The file.readlines method prints an array with each line as an element, showcasing how to read all lines of a file one by one, providing practical understanding of file manipulation.']}, {'end': 38200.867, 'segs': [{'end': 35611.829, 'src': 'embed', 'start': 35538.542, 'weight': 0, 'content': [{'end': 35544.023, 'text': "now. if I want to print line by line, I'll show you one another example.", 'start': 35538.542, 'duration': 5.481}, {'end': 35570.217, 'text': 'if I want to print line by line, then the example is import and file daughter in the loop and you print the output.', 'start': 35544.023, 'duration': 26.194}, {'end': 35572.217, 'text': 'so basically you can.', 'start': 35570.217, 'duration': 2}, {'end': 35583.921, 'text': 'if you want to print the lines in a loop, then you need to put the for command for loop and put the read lines call.', 'start': 35572.217, 'duration': 11.704}, {'end': 35586.862, 'text': 'we will discuss what is sorting in python.', 'start': 35583.921, 'duration': 2.941}, {'end': 35588.423, 'text': 'what is the importance of sorting?', 'start': 35586.862, 'duration': 1.561}, {'end': 35596.603, 'text': 'We will discuss different sorting algorithms like bubble sort, insertion sort, merge sort and quick sort with examples.', 'start': 35589.195, 'duration': 7.408}, {'end': 35604.492, 'text': 'What is sorting? Sorting refers to arranging available data in a particular format.', 'start': 35598.886, 'duration': 5.606}, {'end': 35611.829, 'text': 'So, typically, when you have data in a non-sorted order,', 'start': 35605.313, 'duration': 6.516}], 'summary': 'Discussion on printing lines, sorting in python, and sorting algorithms like bubble sort, insertion sort, merge sort, and quick sort.', 'duration': 73.287, 'max_score': 35538.542, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw35538542.jpg'}, {'end': 35884.757, 'src': 'embed', 'start': 35863.815, 'weight': 4, 'content': [{'end': 35874.346, 'text': 'So, just like the movement of air bubbles in the water that rise up to the surface, each element of the array move to the end in each iteration.', 'start': 35863.815, 'duration': 10.531}, {'end': 35876.508, 'text': 'therefore, it is called a bubble sort.', 'start': 35874.346, 'duration': 2.162}, {'end': 35884.757, 'text': 'It is the simplest sorting algorithm that works by repeatedly swapping the adjacent elements if they are in wrong order.', 'start': 35877.609, 'duration': 7.148}], 'summary': 'Bubble sort swaps adjacent elements to move to end in each iteration.', 'duration': 20.942, 'max_score': 35863.815, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw35863815.jpg'}, {'end': 36212.563, 'src': 'embed', 'start': 36175.727, 'weight': 6, 'content': [{'end': 36192.272, 'text': 'so you just have to write this line and now this piece of code will place at J position the adjacent element of J plus 1 and at the adjacent element it will put the previous element.', 'start': 36175.727, 'duration': 16.545}, {'end': 36198.79, 'text': "now, just to show you, I'll print the array at unsorted and sorted level.", 'start': 36192.272, 'duration': 6.518}, {'end': 36212.563, 'text': "so I'll print the array over here and here so that you can easily understand how the array has been sorted.", 'start': 36198.79, 'duration': 13.773}], 'summary': 'Explanation of code to sort array with adjacent elements and demonstration of unsorted vs sorted array.', 'duration': 36.836, 'max_score': 36175.727, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw36175727.jpg'}, {'end': 36410.342, 'src': 'embed', 'start': 36373.775, 'weight': 5, 'content': [{'end': 36376.318, 'text': 'Now 8 has reached its correct position.', 'start': 36373.775, 'duration': 2.543}, {'end': 36383.969, 'text': 'Again now I am going back to 0 and will only go to the point of 4.', 'start': 36378.044, 'duration': 5.925}, {'end': 36385.771, 'text': 'I compare 6 and 4.', 'start': 36383.969, 'duration': 1.802}, {'end': 36390.975, 'text': '4 is smaller and I get my sorted list of 4, 6, 8, 9.', 'start': 36385.771, 'duration': 5.204}, {'end': 36397.06, 'text': 'Now if you observe the number of iterations which have happened are 1, 2, 3, 4, 5, 6.', 'start': 36390.976, 'duration': 6.084}, {'end': 36400.204, 'text': "It's because 9 has traversed 3 times.", 'start': 36397.061, 'duration': 3.143}, {'end': 36407.479, 'text': '8 has traversed 2 times and 6 has traversed 1 time.', 'start': 36403.975, 'duration': 3.504}, {'end': 36410.342, 'text': '3 plus 2 plus 1, 6 iterations.', 'start': 36407.499, 'duration': 2.843}], 'summary': 'Sorting algorithm completed in 6 iterations, resulting in 4, 6, 8, 9.', 'duration': 36.567, 'max_score': 36373.775, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw36373775.jpg'}, {'end': 36537.007, 'src': 'embed', 'start': 36477.515, 'weight': 2, 'content': [{'end': 36480.036, 'text': 'playing cards, uh, in your hand.', 'start': 36477.515, 'duration': 2.521}, {'end': 36482.338, 'text': "it's just like that, okay.", 'start': 36480.036, 'duration': 2.302}, {'end': 36487.301, 'text': 'so the array is virtually split into sorted and unsorted parts.', 'start': 36482.338, 'duration': 4.963}, {'end': 36494.905, 'text': 'values from the unsorted parts are picked and placed at the correct position in the sorted part.', 'start': 36487.301, 'duration': 7.604}, {'end': 36501.41, 'text': 'so now, in our example, our sorted part is eight and unsorted is four, six and nine.', 'start': 36494.905, 'duration': 6.505}, {'end': 36504.872, 'text': 'now, in the second iteration, we will compare four with eight.', 'start': 36501.41, 'duration': 3.462}, {'end': 36508.16, 'text': 'Now, 4 is smaller than 8..', 'start': 36505.598, 'duration': 2.562}, {'end': 36515.664, 'text': 'We will put it before 8 and now we have sorted list of 4 and 8 and unsorted list of 6 and 9.', 'start': 36508.16, 'duration': 7.504}, {'end': 36521.188, 'text': 'Now in the next iteration, we will compare 6 with 8.', 'start': 36515.664, 'duration': 5.524}, {'end': 36525.711, 'text': 'And if 6 is smaller than 8, we will insert it before 8.', 'start': 36521.188, 'duration': 4.523}, {'end': 36530.554, 'text': 'And also we will compare 6 with 4, but now 6 is greater than 4, we will not swap it.', 'start': 36525.711, 'duration': 4.843}, {'end': 36537.007, 'text': 'Now my list is 4689 and 468 is sorted and 9 is unsorted.', 'start': 36531.778, 'duration': 5.229}], 'summary': 'Sorting algorithm explanation with example and iteration.', 'duration': 59.492, 'max_score': 36477.515, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw36477515.jpg'}], 'start': 35538.542, 'title': 'Sorting algorithms in python', 'summary': 'Covers the importance of sorting in python, discussing various sorting algorithms like bubble sort, insertion sort, merge sort, and quick sort, providing key insights and examples. it also includes detailed walkthroughs of each algorithm with a focus on their working logic and comparisons, demonstrating their respective advantages and limitations. additionally, it covers the implementation of merge sort on a list of 8, 4, 6, 9 using recursion and comparison logic to achieve a sorted array, as well as explains the quicksort algorithm, including pivot selection and recursive sorting, resulting in elements being correctly sorted around the pivot. furthermore, it explains the process of implementing the quick sort algorithm, including creating subarrays, finding the pivot element, and swapping elements, using an example array and demonstrating the iterative process of partitioning and sorting.', 'chapters': [{'end': 36212.563, 'start': 35538.542, 'title': 'Sorting algorithms in python', 'summary': 'Covers the importance of sorting in python, discussing various sorting algorithms like bubble sort, insertion sort, merge sort, and quick sort, and demonstrates the built-in sorting method in python, providing key insights and examples.', 'duration': 674.021, 'highlights': ['The built-in sorting method in Python, called sorted, provides data in ascending order and uses a time series sorting algorithm. The built-in sorting method in Python, called sorted, provides data in ascending order and uses a time series sorting algorithm.', 'The importance of sorting in organizing data, making searches faster and easier, and representing data in a more readable format, with examples and practical use cases. The importance of sorting in organizing data, making searches faster and easier, and representing data in a more readable format, with examples and practical use cases.', 'Explanation and demonstration of the bubble sort algorithm, including its comparison process and iterative swapping of adjacent elements. Explanation and demonstration of the bubble sort algorithm, including its comparison process and iterative swapping of adjacent elements.']}, {'end': 36972.488, 'start': 36212.563, 'title': 'Sorting algorithms overview', 'summary': 'Covers the implementation and examples of three sorting algorithms: bubble sort, insertion sort, and merge sort. it includes detailed walkthroughs of each algorithm with a focus on their working logic and comparisons, demonstrating their respective advantages and limitations.', 'duration': 759.925, 'highlights': ['The chapter covers the implementation and examples of three sorting algorithms: bubble sort, insertion sort, and merge sort. The chapter discusses the implementation and examples of three sorting algorithms: bubble sort, insertion sort, and merge sort.', 'It includes detailed walkthroughs of each algorithm with a focus on their working logic and comparisons, demonstrating their respective advantages and limitations. The chapter provides detailed walkthroughs of each sorting algorithm, emphasizing their working logic, comparisons, and highlighting their respective advantages and limitations.', "Bubble sort is demonstrated with an example array '9864', explaining the number of iterations and the traversal of elements. An example of bubble sort is demonstrated with the array '9864', explaining the number of iterations and the traversal of elements.", "Insertion sort is explained using the example array '8469', showcasing the sorting process through comparisons and placements. Insertion sort is explained using the example array '8469', demonstrating the sorting process through comparisons and placements.", 'The implementation logic of insertion sort is detailed, focusing on comparisons and the iterative placement of elements. The implementation logic of insertion sort is detailed, focusing on comparisons and the iterative placement of elements.', 'Merge sort is introduced as a divide and conquer algorithm, elaborating on the process of dividing, sorting, and uniting the list. Merge sort is introduced as a divide and conquer algorithm, elaborating on the process of dividing, sorting, and uniting the list.', "The example of merge sort is provided with the unsorted list '8469', demonstrating the recursive division and merging process. The example of merge sort is provided with the unsorted list '8469', demonstrating the recursive division and merging process."]}, {'end': 37414.843, 'start': 36974.089, 'title': 'Merge sort implementation in jupyter notebook', 'summary': 'Covers the implementation of merge sort on a list of 8, 4, 6, 9 using recursion and comparison logic to achieve a sorted array.', 'duration': 440.754, 'highlights': ['The implementation demonstrates the use of recursion to split the list into individual elements of 8, 4, 6, and 9, and further compares and merges them to achieve a sorted array.', 'Explanation of the logic for comparing and merging left and right elements to create a sorted list is provided, emphasizing the iterative process and handling of remaining unsorted elements.', 'Print statements are used to illustrate the state of the list at different stages of the merge sort implementation.']}, {'end': 37817.277, 'start': 37416.544, 'title': 'Quicksort algorithm explanation', 'summary': 'Explains the quicksort algorithm, a divide and conquer algorithm, with a detailed example of how it works, including pivot selection and recursive sorting, resulting in elements being correctly sorted around the pivot.', 'duration': 400.733, 'highlights': ['QuickSort is a divide and conquer algorithm that uses a pivot element for sorting QuickSort is a recursive algorithm where a pivot element is chosen, and elements are divided into left and right subarrays based on their relation to the pivot.', 'Detailed example of QuickSort algorithm with pivot selection and recursive sorting The explanation of QuickSort includes a detailed example of how the algorithm works, demonstrating the selection of the pivot, creation of left and right subarrays, and recursive sorting based on pivot elements.', 'Explanation of the process of partitioning and swapping elements around the pivot The process of partitioning and swapping elements around the pivot in the QuickSort algorithm is explained through a step-by-step example, clarifying how elements are correctly sorted around the pivot.']}, {'end': 38200.867, 'start': 37818.939, 'title': 'Understanding quick sort algorithm', 'summary': 'Explains the process of implementing the quick sort algorithm, including creating subarrays, finding the pivot element, and swapping elements, using an example array and demonstrating the iterative process of partitioning and sorting.', 'duration': 381.928, 'highlights': ['The process involves creating subarrays, finding the pivot element, and swapping elements to sort the array, as demonstrated with the example array and the iterative partitioning process.', 'The algorithm involves creating subarrays, iterating through the array elements, and swapping elements based on comparisons with the pivot value.', 'The detailed explanation includes the iterative process of moving the left and right pointers, swapping elements, and updating the pivot value during the partitioning phase.']}], 'duration': 2662.325, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw35538542.jpg', 'highlights': ['The built-in sorting method in Python, called sorted, provides data in ascending order and uses a time series sorting algorithm.', 'The importance of sorting in organizing data, making searches faster and easier, and representing data in a more readable format, with examples and practical use cases.', 'The chapter provides detailed walkthroughs of each sorting algorithm, emphasizing their working logic, comparisons, and highlighting their respective advantages and limitations.', 'The implementation logic of insertion sort is detailed, focusing on comparisons and the iterative placement of elements.', 'Merge sort is introduced as a divide and conquer algorithm, elaborating on the process of dividing, sorting, and uniting the list.', 'The implementation demonstrates the use of recursion to split the list into individual elements of 8, 4, 6, and 9, and further compares and merges them to achieve a sorted array.', 'Explanation of the logic for comparing and merging left and right elements to create a sorted list is provided, emphasizing the iterative process and handling of remaining unsorted elements.', 'QuickSort is a recursive algorithm where a pivot element is chosen, and elements are divided into left and right subarrays based on their relation to the pivot.', 'The explanation of QuickSort includes a detailed example of how the algorithm works, demonstrating the selection of the pivot, creation of left and right subarrays, and recursive sorting based on pivot elements.', 'The process of partitioning and swapping elements around the pivot in the QuickSort algorithm is explained through a step-by-step example, clarifying how elements are correctly sorted around the pivot.', 'The detailed explanation includes the iterative process of moving the left and right pointers, swapping elements, and updating the pivot value during the partitioning phase.']}, {'end': 39093.083, 'segs': [{'end': 38293.791, 'src': 'embed', 'start': 38250.167, 'weight': 0, 'content': [{'end': 38253.269, 'text': 'which also includes 172 million paid subscribers.', 'start': 38250.167, 'duration': 3.102}, {'end': 38261.638, 'text': 'The total number of downloads on the Spotify app in the Android store exceeded 1 billion in May 2021.', 'start': 38253.909, 'duration': 7.729}, {'end': 38265.319, 'text': 'So millions of people listen to music all day, even I am hooked to music.', 'start': 38261.638, 'duration': 3.681}, {'end': 38270.9, 'text': "As an analyst, what's better than exploring and quantifying data about music and drawing valuable insights?", 'start': 38265.739, 'duration': 5.161}, {'end': 38274.741, 'text': 'Before I move ahead, I have a quiz question for you people.', 'start': 38271.72, 'duration': 3.021}, {'end': 38278.642, 'text': 'The name Spotify comes from a combination of two words.', 'start': 38275.781, 'duration': 2.861}, {'end': 38283.463, 'text': 'So which are those two words? Please let us know your thoughts in the comment section below.', 'start': 38279.182, 'duration': 4.281}, {'end': 38285.464, 'text': 'I would like to repeat the question again.', 'start': 38284.103, 'duration': 1.361}, {'end': 38288.987, 'text': 'The name Spotify comes from a combination of two words.', 'start': 38285.965, 'duration': 3.022}, {'end': 38291.77, 'text': 'So, what are those two words? We would love to hear from you.', 'start': 38289.127, 'duration': 2.643}, {'end': 38293.791, 'text': 'So, please put your answers in the comment section below.', 'start': 38291.89, 'duration': 1.901}], 'summary': 'Spotify has 172 million paid subscribers and 1 billion android app downloads, engaging millions in music.', 'duration': 43.624, 'max_score': 38250.167, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw38250167.jpg'}, {'end': 38994.511, 'src': 'embed', 'start': 38960.427, 'weight': 1, 'content': [{'end': 38965.489, 'text': 'so we are going to check for the top 10 songs with popularity greater than 90.', 'start': 38960.427, 'duration': 5.062}, {'end': 38967.39, 'text': 'let me show you how to do it.', 'start': 38965.489, 'duration': 1.901}, {'end': 38978.775, 'text': "so in this cell i am going to create a new variable called most popular and i'll say df, underscore tracks dot.", 'start': 38967.39, 'duration': 11.385}, {'end': 38983.704, 'text': "this time i'm going to use the query function that is part of pandas library.", 'start': 38978.775, 'duration': 4.929}, {'end': 38994.511, 'text': "again I'll use the column that is popularity and will set the condition popularity should be greater than 90.", 'start': 38983.704, 'duration': 10.807}], 'summary': 'Finding top 10 songs with popularity > 90 using pandas query function.', 'duration': 34.084, 'max_score': 38960.427, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw38960427.jpg'}, {'end': 39062.554, 'src': 'embed', 'start': 39027.424, 'weight': 2, 'content': [{'end': 39034.926, 'text': "and then let's take only the top 10 popular songs.", 'start': 39027.424, 'duration': 7.502}, {'end': 39037.447, 'text': "so i'll say most popular.", 'start': 39034.926, 'duration': 2.521}, {'end': 39046.911, 'text': "use square brackets, Use square brackets and we'll then pass the slicing operator and say colon 10..", 'start': 39037.447, 'duration': 9.464}, {'end': 39048.651, 'text': 'Now if I run this, there you go.', 'start': 39046.911, 'duration': 1.74}, {'end': 39055.292, 'text': 'So here you can see the 10 most popular songs that is present in our Spotify dataset.', 'start': 39049.491, 'duration': 5.801}, {'end': 39062.554, 'text': 'First, we have Peaches by Justin Bieber, Daniel Cesar and Gibbon.', 'start': 39055.733, 'duration': 6.821}], 'summary': 'Extracted top 10 popular songs from spotify dataset.', 'duration': 35.13, 'max_score': 39027.424, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw39027424.jpg'}], 'start': 38200.867, 'title': 'Analyzing spotify data', 'summary': 'Covers the process of analyzing and visualizing spotify music streaming data using python, discussing datasets, number of spotify users, and key columns including popularity, duration, danceability, energy, loudness, mode, speechiness, acousticness, liveness, valence, tempo, and time signature. it also includes analysis of a spotify dataset from 1922 till 2021, importing libraries, checking null values, retrieving descriptive statistics, and identifying the 10 least and most popular songs.', 'chapters': [{'end': 38527.868, 'start': 38200.867, 'title': 'Spotify data analysis with python', 'summary': 'Discusses the process of analyzing and visualizing spotify music streaming data using python, detailing the datasets, the number of spotify users, and key columns in the dataset, including popularity, duration, danceability, energy, loudness, mode, speechiness, acousticness, liveness, valence, tempo, and time signature.', 'duration': 327.001, 'highlights': ['Spotify has over 381 million monthly active users, including 172 million paid subscribers. Spotify has over 381 million monthly active users, including 172 million paid subscribers.', 'The total number of downloads on the Spotify app in the Android store exceeded 1 billion in May 2021. The total number of downloads on the Spotify app in the Android store exceeded 1 billion in May 2021.', 'The first dataset includes columns such as ID, name, popularity, duration, artist, release date, danceability, energy, key, loudness, mode, speechiness, acousticness, instrumentalness, liveness, valence, tempo, and time signature. The first dataset includes columns such as ID, name, popularity, duration, artist, release date, danceability, energy, key, loudness, mode, speechiness, acousticness, instrumentalness, liveness, valence, tempo, and time signature.']}, {'end': 39093.083, 'start': 38527.868, 'title': 'Spotify data analysis', 'summary': 'Covers the analysis of a spotify dataset from 1922 till 2021, including importing necessary libraries, checking for null values, retrieving descriptive statistics, and identifying the 10 least and most popular songs.', 'duration': 565.215, 'highlights': ["The dataset contains information from 1922 till 2021, with a total of 5,86,601 song names and 71 missing values in the 'name' column.", "The 'popularity' column contains songs with a minimum popularity of 0, a maximum popularity of 100, and a median popularity of 27.", 'Identified and presented the 10 least popular songs in the dataset, with a popularity score of 0.', "Listed the 10 most popular songs in the dataset, with 'Peaches' by Justin Bieber, Daniel Cesar, and Gibbon having the highest popularity score of 100."]}], 'duration': 892.216, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw38200867.jpg', 'highlights': ['Spotify has over 381 million monthly active users, including 172 million paid subscribers.', 'The total number of downloads on the Spotify app in the Android store exceeded 1 billion in May 2021.', "The dataset contains information from 1922 till 2021, with a total of 5,86,601 song names and 71 missing values in the 'name' column.", "The 'popularity' column contains songs with a minimum popularity of 0, a maximum popularity of 100, and a median popularity of 27.", 'Identified and presented the 10 least popular songs in the dataset, with a popularity score of 0.', "Listed the 10 most popular songs in the dataset, with 'Peaches' by Justin Bieber, Daniel Cesar, and Gibbon having the highest popularity score of 100."]}, {'end': 40662.372, 'segs': [{'end': 39343.765, 'src': 'embed', 'start': 39221.569, 'weight': 0, 'content': [{'end': 39227.214, 'text': "Alright Now, we'll print the head of the dataset just to check the duration column.", 'start': 39221.569, 'duration': 5.645}, {'end': 39235.621, 'text': "So, I'll say df underscore tracks dot duration dot head.", 'start': 39227.734, 'duration': 7.887}, {'end': 39237.803, 'text': 'If I run it, there you go.', 'start': 39235.641, 'duration': 2.162}, {'end': 39244.128, 'text': 'So, you can see the values have now been changed to just seconds.', 'start': 39238.663, 'duration': 5.465}, {'end': 39249.356, 'text': 'Cool I have the final quiz question for you.', 'start': 39245.289, 'duration': 4.067}, {'end': 39255.982, 'text': 'Who has the most monthly listeners on Spotify? Please put your answers in the comment section below.', 'start': 39250.637, 'duration': 5.345}, {'end': 39257.683, 'text': "We'd be glad to hear from you.", 'start': 39256.522, 'duration': 1.161}, {'end': 39261.046, 'text': 'Now coming to the next cell.', 'start': 39259.224, 'duration': 1.822}, {'end': 39267.631, 'text': 'So here we are going to create a first visualization that is going to be a correlation map.', 'start': 39262.867, 'duration': 4.764}, {'end': 39280.569, 'text': 'We are going to drop three unwanted columns and those are key, mode and explicit and then we are going to apply Pearson correlation method.', 'start': 39268.559, 'duration': 12.01}, {'end': 39291.477, 'text': 'Now I have set my figure size to 14,6 and then we are using the seaborn heatmap function to create our correlation map.', 'start': 39281.73, 'duration': 9.747}, {'end': 39298.158, 'text': 'I have put the variable that is correlation underscore df.', 'start': 39292.278, 'duration': 5.88}, {'end': 39305.163, 'text': "you can see above we had created this and then I'm setting annotation equal to true.", 'start': 39298.158, 'duration': 7.005}, {'end': 39310.146, 'text': 'so this will write the data value in each cell.', 'start': 39305.163, 'duration': 4.983}, {'end': 39315.19, 'text': 'I have set fmt equal to dot one g.', 'start': 39310.146, 'duration': 5.044}, {'end': 39319.432, 'text': 'so this is a string formatting code to use when adding annotations.', 'start': 39315.19, 'duration': 4.242}, {'end': 39323.397, 'text': 'then I have set my vmin and vmax.', 'start': 39319.432, 'duration': 3.965}, {'end': 39325.918, 'text': 'so these are the values to anchor the color map.', 'start': 39323.397, 'duration': 2.521}, {'end': 39330.32, 'text': 'otherwise they are inferred from the data and other keyword arguments.', 'start': 39325.918, 'duration': 4.402}, {'end': 39332.501, 'text': 'cmap here stands for color map.', 'start': 39330.32, 'duration': 2.181}, {'end': 39336.262, 'text': 'you can just search for sns, cmap.', 'start': 39332.501, 'duration': 3.761}, {'end': 39338.463, 'text': 'you will get the documentation.', 'start': 39336.262, 'duration': 2.201}, {'end': 39343.765, 'text': 'so you can choose whichever color palette or the color map you want.', 'start': 39338.463, 'duration': 5.302}], 'summary': 'Data visualization with correlation map and changing duration to seconds.', 'duration': 122.196, 'max_score': 39221.569, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw39221569.jpg'}, {'end': 39414.182, 'src': 'embed', 'start': 39376.691, 'weight': 3, 'content': [{'end': 39382.914, 'text': 'minus 1 means the variables have least or negative correlation,', 'start': 39376.691, 'duration': 6.223}, {'end': 39390.658, 'text': 'while the values which are above 0.0 means that the variables have a positive correlation.', 'start': 39382.914, 'duration': 7.744}, {'end': 39407.199, 'text': 'now here you can see there are values like minus 0.7 for energy and acousticness, which means if the energy is high, the acousticness is really low.', 'start': 39390.658, 'duration': 16.541}, {'end': 39414.182, 'text': 'again for loudness and say speechiness, if the song is loud the speechiness is low.', 'start': 39407.199, 'duration': 6.983}], 'summary': 'Negative correlation (-1) indicates high energy and low acousticness, while positive correlation (0.0) indicates loudness and low speechiness.', 'duration': 37.491, 'max_score': 39376.691, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw39376691.jpg'}, {'end': 39468.85, 'src': 'embed', 'start': 39442.62, 'weight': 5, 'content': [{'end': 39450.186, 'text': 'there is negative correlation again between valence and acousticness.', 'start': 39442.62, 'duration': 7.566}, {'end': 39455.47, 'text': 'similarly, there is positive correlation between energy and valence, which is 0.4,', 'start': 39450.186, 'duration': 5.284}, {'end': 39459.013, 'text': 'and even for danceability and valence that is positive correlation, which is 0.5 cool.', 'start': 39455.47, 'duration': 3.543}, {'end': 39468.85, 'text': 'So from the correlation heat map you can note that acousticness appears to have a strong negative correlation with energy.', 'start': 39461.584, 'duration': 7.266}], 'summary': 'Negative correlation between valence and acousticness, positive correlation between energy and valence (0.4), and danceability and valence (0.5).', 'duration': 26.23, 'max_score': 39442.62, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw39442620.jpg'}, {'end': 39621.24, 'src': 'embed', 'start': 39573.683, 'weight': 10, 'content': [{'end': 39586.064, 'text': 'Cool Now we are going to create a regression plot between loudness and energy.', 'start': 39573.683, 'duration': 12.381}, {'end': 39595.806, 'text': 'Now in our correlation map we saw there was a positive correlation between loudness and energy which was 0.8.', 'start': 39586.624, 'duration': 9.182}, {'end': 39599.047, 'text': "Let's plot it in the form of a regression line.", 'start': 39595.806, 'duration': 3.241}, {'end': 39604.988, 'text': 'So I use PLT dot figure.', 'start': 39600.127, 'duration': 4.861}, {'end': 39609.809, 'text': "I'll set my figure size.", 'start': 39606.628, 'duration': 3.181}, {'end': 39614.776, 'text': "equal to let's say 10 comma 6.", 'start': 39612.395, 'duration': 2.381}, {'end': 39621.24, 'text': "I'll say sns dot regression plot.", 'start': 39614.776, 'duration': 6.464}], 'summary': 'Created a regression plot between loudness and energy with a positive correlation of 0.8.', 'duration': 47.557, 'max_score': 39573.683, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw39573683.jpg'}], 'start': 39093.083, 'title': 'Music dataset analysis', 'summary': 'Covers setting the release date column as the index, filtering specific rows, creating visualizations, generating correlation map and regression plots, and analyzing song data to reveal trends over the years, such as increasing number of songs and changing song duration preferences, as well as importing music dataset, displaying initial rows, creating bar plots, and identifying top genres by popularity.', 'chapters': [{'end': 39343.765, 'start': 39093.083, 'title': 'Setting index, filtering data, and creating visualization', 'summary': 'Covers setting the release date column as the index, filtering specific rows of information, converting duration from milliseconds to seconds, and creating a correlation map visualization with pearson method.', 'duration': 250.682, 'highlights': ["Setting the release date column as the index using the set_index function and changing the values to datetime format. The index is set to the release date column, and the data frame's head is printed to confirm the successful change.", "Filtering specific rows of information to check the artist at the 18th row using the index location method and iloc. The artist's name at the 18th row is displayed as 'victor boucher' after filtering the specific rows of information.", 'Converting the duration from milliseconds to seconds using the lambda function and printing the head of the dataset to confirm the changes. The duration column values are converted to seconds using the lambda function, and the head of the dataset is printed to validate the conversion.', 'Creating a correlation map visualization by dropping unwanted columns, setting figure size, and applying the Pearson correlation method. The correlation map is created by dropping unwanted columns and using the seaborn heatmap function with Pearson correlation method and specific formatting.']}, {'end': 39824.757, 'start': 39343.765, 'title': 'Correlation map and regression plots', 'summary': 'Covers the creation of a correlation map to visualize the relationships between variables, identifying negative and positive correlations, and the generation of regression plots to demonstrate the correlations, such as the high positive correlation between loudness and energy, with a correlation coefficient of 0.8, and the negative correlation between popularity and acousticness.', 'duration': 480.992, 'highlights': ["A high positive correlation between loudness and energy, with a correlation coefficient of 0.8, demonstrated through a regression plot showing an increasing trend of loudness with increasing energy. {'correlation_coefficient': 0.8}", 'The negative correlation between popularity and acousticness, depicted in a regression plot with a downward trend, indicating that as acousticness increases, popularity decreases. {}', 'Creation of a correlation map to visualize the relationships between variables, identifying negative and positive correlations, including specific correlations between energy and acousticness, loudness and speechiness, and acousticness and danceability. {}']}, {'end': 40229.759, 'start': 39828.72, 'title': 'Analyzing song data', 'summary': 'Involved creating visualizations to analyze the total number of songs, their duration, and trends over the years, revealing that the number of songs has increased over time, with a shift in song duration towards shorter lengths due to changing listener preferences.', 'duration': 401.039, 'highlights': ['The number of songs for each year in the data set have increased over the years, reflecting the growing accessibility of music globally with technological advancements. The distribution plot visualized the total number of songs in each year since 1922, showing a significant increase in the number of songs available for people to listen.', 'The duration of songs has exhibited a shift over time, with a decrease in duration observed post-2010, indicating changing listener preferences. The bar plot and line plot demonstrated the duration of songs over the years, indicating that the duration of songs has started decreasing after 2010, potentially due to the declining attention span of the average listener.', 'The analysis also revealed that songs from 1920s to 1960s tended to have shorter durations, likely due to being more singing-based rather than instrument-based. The line plot analysis indicated that songs from the 1920s to 1960s had comparatively shorter durations, possibly due to their focus on singing rather than instrumentation.']}, {'end': 40662.372, 'start': 40230.379, 'title': 'Importing and analyzing music dataset', 'summary': 'Covers importing a music dataset, displaying the first 5 rows, creating a bar plot of song durations by genre, and identifying the top 5 genres by popularity.', 'duration': 431.993, 'highlights': ["The duration of songs in the classical and world genres is longer compared to other genres, with children's music having the shortest duration.", 'The top 5 genres based on popularity are dance, pop, rap, hip-hop, and reggaeton, as per the data collected from Spotify.', 'The dataset is imported using pandas read_csv function and stored in a data frame called df_genre.', 'The bar plot of song durations by genre shows variations in song lengths across different music genres.', 'The first 5 rows of the dataset are displayed using the head function to provide an initial overview of the data.']}], 'duration': 1569.289, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw39093083.jpg', 'highlights': ['Setting release date column as index and converting to datetime format.', 'Filtering specific rows to check artist at 18th row using iloc.', 'Converting duration from milliseconds to seconds using lambda function.', 'Creating correlation map visualization and dropping unwanted columns.', 'Positive correlation between loudness and energy with coefficient of 0.8.', 'Negative correlation between popularity and acousticness.', 'Visualization of increasing number of songs over the years.', 'Shift in song duration post-2010 indicating changing preferences.', 'Songs from 1920s to 1960s tended to have shorter durations.', 'Duration of songs in classical and world genres is longer.', 'Top 5 genres by popularity: dance, pop, rap, hip-hop, reggaeton.', 'Importing music dataset using pandas read_csv function.']}, {'end': 41850.531, 'segs': [{'end': 40754.455, 'src': 'embed', 'start': 40724.079, 'weight': 9, 'content': [{'end': 40726.381, 'text': 'With multi-processing and multi-threading.', 'start': 40724.079, 'duration': 2.302}, {'end': 40732.226, 'text': 'this question is actually asking you do you know the difference between multi-processing and multi-threading and how multi-threading works?', 'start': 40726.381, 'duration': 5.845}, {'end': 40737.188, 'text': 'Multithreading usually implies that multiple threads are executed concurrently.', 'start': 40732.626, 'duration': 4.562}, {'end': 40744.951, 'text': "The Python global interpreter lock doesn't allow more than one thread to hold the Python interpreter at that particular point of time.", 'start': 40737.488, 'duration': 7.463}, {'end': 40748.833, 'text': 'So multithreading in Python is achieved through context switching.', 'start': 40745.351, 'duration': 3.482}, {'end': 40754.455, 'text': "It's very different than multiprocessing which actually opens up multiple processes across multiple threads.", 'start': 40749.073, 'duration': 5.382}], 'summary': 'Python uses multithreading for concurrency, but multiprocessing opens multiple processes across threads.', 'duration': 30.376, 'max_score': 40724.079, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw40724079.jpg'}, {'end': 40792.78, 'src': 'embed', 'start': 40766.34, 'weight': 10, 'content': [{'end': 40772.843, 'text': 'And so when you look at the architecture, you can see here we have a nice model drawn out where the user initiates the Django,', 'start': 40766.34, 'duration': 6.503}, {'end': 40776.144, 'text': "which initiates the URL, which initiates the view, what they're going to view.", 'start': 40772.843, 'duration': 3.301}, {'end': 40777.985, 'text': 'And you have your model and your template.', 'start': 40776.344, 'duration': 1.641}, {'end': 40784.328, 'text': "So the model of data, whatever data model you're pulling, goes into the template and then goes back up the pipeline to the user.", 'start': 40778.065, 'duration': 6.263}, {'end': 40788.269, 'text': "And the important thing to note is there's a template, the front end of the web page.", 'start': 40784.468, 'duration': 3.801}, {'end': 40789.49, 'text': "This is what they're going to see.", 'start': 40788.509, 'duration': 0.981}, {'end': 40792.78, 'text': "There's a model, the back end where the data is stored.", 'start': 40789.878, 'duration': 2.902}], 'summary': 'Django architecture involves user, url, view, model, and template for data flow.', 'duration': 26.44, 'max_score': 40766.34, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw40766340.jpg'}, {'end': 40827.871, 'src': 'embed', 'start': 40800.525, 'weight': 12, 'content': [{'end': 40804.768, 'text': 'Then you have your view, which interacts with the model and template and maps it to the URL.', 'start': 40800.525, 'duration': 4.243}, {'end': 40808.03, 'text': 'And then the Django serves the page to the user.', 'start': 40804.888, 'duration': 3.142}, {'end': 40811.933, 'text': 'So your Django grabs it and says, okay, thank you for the URL, and here you go, user.', 'start': 40808.23, 'duration': 3.703}, {'end': 40819.026, 'text': 'What advantage does numpy array have over nested list? So numpy is a module you import.', 'start': 40812.302, 'duration': 6.724}, {'end': 40822.388, 'text': 'Almost always see numpy, import numpy as np.', 'start': 40819.366, 'duration': 3.022}, {'end': 40827.871, 'text': 'Numpy is written in C, such that all its complexities are backed into a simple to use module.', 'start': 40822.908, 'duration': 4.963}], 'summary': "Django serves pages to users by mapping views to urls, and numpy's advantages include being written in c for simplicity.", 'duration': 27.346, 'max_score': 40800.525, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw40800525.jpg'}, {'end': 40876.523, 'src': 'embed', 'start': 40844.905, 'weight': 13, 'content': [{'end': 40846.728, 'text': "There's a lot of things you can automate in the NumPy.", 'start': 40844.905, 'duration': 1.823}, {'end': 40848.77, 'text': 'Quick flip over to our Jupyter notebook.', 'start': 40846.948, 'duration': 1.822}, {'end': 40850.152, 'text': 'NEIDE will work.', 'start': 40849.031, 'duration': 1.121}, {'end': 40855.079, 'text': "If you're going to do a set of interview questions, taking a quick look at code is always important.", 'start': 40850.513, 'duration': 4.566}, {'end': 40857.339, 'text': 'We have our import numpy as np.', 'start': 40855.259, 'duration': 2.08}, {'end': 40858.8, 'text': "We'll go ahead and import time.", 'start': 40857.599, 'duration': 1.201}, {'end': 40862.08, 'text': "Here's our list, list sub for ion range of 100.", 'start': 40859.02, 'duration': 3.06}, {'end': 40864.041, 'text': "And what we're doing is we're going to time it.", 'start': 40862.08, 'duration': 1.961}, {'end': 40866.201, 'text': "So we're going to create a list.", 'start': 40864.341, 'duration': 1.86}, {'end': 40868.901, 'text': "Then we're going to create a numpy zeros array.", 'start': 40866.521, 'duration': 2.38}, {'end': 40872.822, 'text': 'And you can see here, look how quick you can create this numpy zeros array.', 'start': 40869.141, 'duration': 3.681}, {'end': 40876.523, 'text': 'Here we are appending one zero at a time for a regular Python list.', 'start': 40873.102, 'duration': 3.421}], 'summary': 'Automate tasks in numpy, create arrays quickly, and time operations.', 'duration': 31.618, 'max_score': 40844.905, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw40844905.jpg'}, {'end': 40990.464, 'src': 'embed', 'start': 40945.367, 'weight': 14, 'content': [{'end': 40950.272, 'text': 'Converting a Python object hierarchy to a byte stream is called pickling.', 'start': 40945.367, 'duration': 4.905}, {'end': 40953.394, 'text': 'Pickling is also referred to as serialization.', 'start': 40950.392, 'duration': 3.002}, {'end': 40959.379, 'text': 'Unpickling, converting a byte stream to a Python object hierarchy is also called unpickling.', 'start': 40953.614, 'duration': 5.765}, {'end': 40962.482, 'text': 'Unpickling is also referred to as deserialization.', 'start': 40959.56, 'duration': 2.922}, {'end': 40968.928, 'text': 'So if you just created a neural network model, you can now save that model to your hard drive,', 'start': 40962.722, 'duration': 6.206}, {'end': 40974.632, 'text': 'pickle it and then you can unpickle it to bring it back into another software program or to use at a later time.', 'start': 40968.928, 'duration': 5.704}, {'end': 40977.834, 'text': 'How is memory managed in Python? Number six.', 'start': 40974.972, 'duration': 2.862}, {'end': 40981.537, 'text': 'Python has a private heap space where it stores all the objects.', 'start': 40978.215, 'duration': 3.322}, {'end': 40988.162, 'text': 'The Python memory manager manages various aspects of this heap like sharing, caching, segmentation, and allocation.', 'start': 40981.817, 'duration': 6.345}, {'end': 40990.464, 'text': 'The user has no control over the heap.', 'start': 40988.302, 'duration': 2.162}], 'summary': 'Pickling and unpickling in python, and memory management in python.', 'duration': 45.097, 'max_score': 40945.367, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw40945367.jpg'}, {'end': 41149.006, 'src': 'embed', 'start': 41101.992, 'weight': 0, 'content': [{'end': 41104.354, 'text': 'For example, 5 over 2 returns 2.5.', 'start': 41101.992, 'duration': 2.362}, {'end': 41109.918, 'text': 'To do a double forward slash operator, on the other hand, returns a quotient and integer.', 'start': 41104.354, 'duration': 5.564}, {'end': 41113.701, 'text': 'For example, 5 double slash returns 2.', 'start': 41110.099, 'duration': 3.602}, {'end': 41116.364, 'text': '5 divided by 2 and you drop the .5.', 'start': 41113.701, 'duration': 2.663}, {'end': 41117.364, 'text': 'Number 10.', 'start': 41116.364, 'duration': 1}, {'end': 41123.069, 'text': 'What does the is operator do? The is operator compares the ID of the two objects.', 'start': 41117.364, 'duration': 5.705}, {'end': 41127.732, 'text': 'And you can see in here where list1 equals brackets around 1, 2, 3.', 'start': 41123.469, 'duration': 4.263}, {'end': 41129.314, 'text': 'List1 equals list2 equals true.', 'start': 41127.733, 'duration': 1.581}, {'end': 41132.696, 'text': 'And you have the double equals in Python, of course.', 'start': 41130.775, 'duration': 1.921}, {'end': 41138.46, 'text': 'And you can do list1 is list2, where list2 equals 1, 2, 3 is false.', 'start': 41132.836, 'duration': 5.624}, {'end': 41141.44, 'text': 'List2 is not the brackets 1, 2, 3.', 'start': 41138.8, 'duration': 2.64}, {'end': 41142.942, 'text': "It equals it, but it's not the brackets.", 'start': 41141.441, 'duration': 1.501}, {'end': 41149.006, 'text': 'And if we do list3 equals list1, then list1 is list3 equals true.', 'start': 41143.263, 'duration': 5.743}], 'summary': 'Python operators behavior and comparisons illustrated with examples.', 'duration': 47.014, 'max_score': 41101.992, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw41101992.jpg'}, {'end': 41261.129, 'src': 'embed', 'start': 41233.796, 'weight': 7, 'content': [{'end': 41241.4, 'text': 'If you know isAllNumber, which returns that the characters in the string are alphanumeric, one can also use regex instead.', 'start': 41233.796, 'duration': 7.604}, {'end': 41243.461, 'text': 'And so we have booleanReMatch.', 'start': 41241.72, 'duration': 1.741}, {'end': 41251.325, 'text': "What's important about this is to note your capital A dash to capital Z, A lowercase dash to Z,", 'start': 41243.801, 'duration': 7.524}, {'end': 41255.847, 'text': '0 to 9 means that that array includes all of those the way they have it written out.', 'start': 41251.325, 'duration': 4.522}, {'end': 41261.129, 'text': "plus the dollar sign, and then we have what we're comparing it to, the string we're comparing to, the ABCD123.", 'start': 41256.227, 'duration': 4.902}], 'summary': 'Using booleanrematch and regex for checking alphanumeric characters in a string, including a-z, a-z, and 0-9.', 'duration': 27.333, 'max_score': 41233.796, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw41233796.jpg'}, {'end': 41297.888, 'src': 'embed', 'start': 41272.654, 'weight': 4, 'content': [{'end': 41280.16, 'text': 'Number 13, how will you merge elements in a sequence? Sequence, there are three types of sequences in Python.', 'start': 41272.654, 'duration': 7.506}, {'end': 41282.762, 'text': "There's lists, tuples, and strings.", 'start': 41280.2, 'duration': 2.562}, {'end': 41284.763, 'text': 'Python, of course, makes this easy.', 'start': 41283.262, 'duration': 1.501}, {'end': 41288.904, 'text': 'If we have a list 1 and list 2, and list 1 is square brackets, 1, 2, 3.', 'start': 41284.783, 'duration': 4.121}, {'end': 41289.487, 'text': 'List 2 is 4, 5, and 6.', 'start': 41288.906, 'duration': 0.581}, {'end': 41297.888, 'text': 'We can simply do list 1 plus list 2, and our output is 1, 2, 3, 4, 5, 6.', 'start': 41289.487, 'duration': 8.401}], 'summary': 'Merging sequences in python is straightforward; for example, merging two lists results in a combined list of 1, 2, 3, 4, 5, and 6.', 'duration': 25.234, 'max_score': 41272.654, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw41272654.jpg'}, {'end': 41550.56, 'src': 'embed', 'start': 41526.763, 'weight': 5, 'content': [{'end': 41534.949, 'text': 'And we end up with list1 equals list3 Default list is created only once during the function and not during its call.', 'start': 41526.763, 'duration': 8.186}, {'end': 41536.11, 'text': 'Number 20.', 'start': 41535.209, 'duration': 0.901}, {'end': 41541.614, 'text': 'What is the difference between a list and a tuple? Lists are mutable while tuples are immutable.', 'start': 41536.11, 'duration': 5.504}, {'end': 41545.476, 'text': 'And you can see an example down here where I have list equals 1, 2, 3.', 'start': 41541.934, 'duration': 3.542}, {'end': 41547.038, 'text': "Square brackets denote it's a list.", 'start': 41545.477, 'duration': 1.561}, {'end': 41550.56, 'text': 'List of 2 equals 4, and I print it out, and I now have 1, 2, 4.', 'start': 41547.338, 'duration': 3.222}], 'summary': 'Lists are mutable, tuples are immutable. example: list = [1, 2, 4]', 'duration': 23.797, 'max_score': 41526.763, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw41526763.jpg'}, {'end': 41632.409, 'src': 'embed', 'start': 41598.931, 'weight': 2, 'content': [{'end': 41600.452, 'text': 'This function adds two numbers.', 'start': 41598.931, 'duration': 1.521}, {'end': 41605.356, 'text': 'And so you can see the code down here has two very different end values.', 'start': 41600.752, 'duration': 4.604}, {'end': 41608.198, 'text': 'The second one is basically a help menu.', 'start': 41605.776, 'duration': 2.422}, {'end': 41609.259, 'text': "There's our help menu.", 'start': 41608.358, 'duration': 0.901}, {'end': 41617.463, 'text': 'Number 22, how do you use print without the new line? The solution to this depends on the Python version you are using.', 'start': 41609.619, 'duration': 7.844}, {'end': 41622.705, 'text': 'In Python version 2, you can do print high and then you add a comma afterwards.', 'start': 41617.684, 'duration': 5.021}, {'end': 41626.066, 'text': 'Print how are you and you have hi, how are you.', 'start': 41622.985, 'duration': 3.081}, {'end': 41632.409, 'text': 'In version 3, print high comma end equals and it will add a space on the end there.', 'start': 41626.087, 'duration': 6.322}], 'summary': 'A function adds two numbers with different outputs. python 2 and 3 print variations explained.', 'duration': 33.478, 'max_score': 41598.931, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw41598931.jpg'}, {'end': 41792.379, 'src': 'embed', 'start': 41765.077, 'weight': 3, 'content': [{'end': 41768.159, 'text': "It's an iterable object, def function args.", 'start': 41765.077, 'duration': 3.082}, {'end': 41770.721, 'text': "And you can imagine it's just a basic list.", 'start': 41768.439, 'duration': 2.282}, {'end': 41777.607, 'text': "So if I send add the numbers a comma b or a comma b comma c, it doesn't really matter.", 'start': 41770.981, 'duration': 6.626}, {'end': 41780.949, 'text': 'It will have that number of objects in it, whatever I send to it.', 'start': 41777.627, 'duration': 3.322}, {'end': 41783.071, 'text': "And there's other uses for it, but that's very basic.", 'start': 41781.129, 'duration': 1.942}, {'end': 41787.014, 'text': 'Quarks, I can actually tell it what I want to send.', 'start': 41783.311, 'duration': 3.703}, {'end': 41792.379, 'text': 'So using a function prototype to accept varying number of keyworded arguments.', 'start': 41787.254, 'duration': 5.125}], 'summary': 'The iterable object can accept a varying number of arguments, and it can be used to send and receive varying numbers of objects.', 'duration': 27.302, 'max_score': 41765.077, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw41765077.jpg'}], 'start': 40663.433, 'title': 'Python interview questions and numpy performance', 'summary': 'Covers python interview questions including shallow copy, deep copy, multi-threading, and django architecture, and explains the advantages of numpy over nested lists, demonstrating its superior performance and covering other python concepts like pickling, memory management, argument passing, random number generation, and string manipulation.', 'chapters': [{'end': 40800.325, 'start': 40663.433, 'title': 'Python interview questions: shallow copy, deep copy, multi-threading, and django architecture', 'summary': 'Covers python interview questions including the difference between shallow copy and deep copy, multi-threading in python, and the architecture of django, highlighting key concepts and practical explanations.', 'duration': 136.892, 'highlights': ["The Python global interpreter lock doesn't allow more than one thread to hold the Python interpreter at that particular point of time. The Python global interpreter lock restricts more than one thread, affecting multi-threading in Python.", 'A deep copy creates a different object and populates it with the child objects of the original object. Deep copy creates a distinct object and fills it with child objects from the original, ensuring changes in the original object do not affect the copy.', 'Multithreading usually implies that multiple threads are executed concurrently. Multithreading involves the concurrent execution of multiple threads, providing efficient parallel processing.', "The Django architecture involves the user initiating Django, which then initiates the URL and the view along with the model and template for data handling and presentation. Django's architecture includes the flow from user initiation to the rendering of web pages, incorporating models, templates, and views for efficient data handling and presentation.", 'Shallow copy creates a different object and populates it with the references of the child objects within the original object. Shallow copy generates a distinct object filled with references to child objects in the original, causing changes in the original object to reflect in the copy.']}, {'end': 41272.214, 'start': 40800.525, 'title': 'Python numpy performance comparison', 'summary': 'Explains the advantages of numpy over nested lists, demonstrating its superior performance by showing the significant time difference in operations between numpy arrays and regular python lists. it also covers other python concepts like pickling, memory management, argument passing, random number generation, and string manipulation.', 'duration': 471.689, 'highlights': ['NumPy arrays are much faster than lists due to being written in C and having additional functionality, as shown by the significant time difference in operations between NumPy arrays and regular Python lists. NumPy arrays are written in C, making them faster than lists, as demonstrated by the significant difference in time (0.09s vs 0.003s) in performing similar operations.', 'The chapter explains the process of pickling and unpickling, illustrating the use case of saving a neural network model to a hard drive and later unpickling it for usage in another software program. The process of pickling and unpickling is elaborated, with an example of saving a neural network model to a hard drive and unpickling it for use in another software program.', "The concept of memory management in Python is detailed, emphasizing the Python memory manager's control over the heap space and its management of various aspects like sharing, caching, segmentation, and allocation. The chapter provides a detailed explanation of memory management in Python, highlighting the Python memory manager's control over the heap space and its management of various aspects like sharing, caching, segmentation, and allocation.", 'The chapter explains the process of argument passing in Python, clarifying that arguments are passed by reference, leading to changes made within a function being reflected on the original object. The chapter clarifies that arguments in Python are passed by reference, resulting in changes made within a function being reflected on the original object.', 'The process of generating random numbers in Python is explained, covering the usage of the random module and its functions to generate random float values and numbers within a given range. The process of generating random numbers in Python using the random module and its functions is detailed, including the generation of random float values and numbers within a specified range.']}, {'end': 41850.531, 'start': 41272.654, 'title': 'Python sequences and functions', 'summary': 'Covers python sequence merging, whitespace removal, substring replacement, list manipulation, file content reversal, and function prototypes, emphasizing the differences between lists and tuples, the usage of docstrings, print function variations, split function, object-oriented and functional programming, and the first-class nature of python functions.', 'duration': 577.877, 'highlights': ['Python provides easy merging of sequences such as lists, tuples, and strings using the plus operator, resulting in the concatenation of elements. When merging lists, tuples, or strings in Python using the plus operator, the elements are concatenated together, providing a straightforward method for sequence merging.', "The lstrip function in Python removes all leading whitespace from a string, while the strip function can also remove trailing whitespace. Python's built-in lstrip function effectively removes all leading whitespace from a string, while the strip function can remove both leading and trailing whitespace.", 'The replace function can be used to replace all occurrences of a substring with a new string in Python, offering the ability to control the number of replacements through the count parameter. In Python, the replace function allows for the seamless replacement of all instances of a substring with a new string, with the count parameter providing the option to specify the number of replacements to be made.', "Python's del operation removes elements from a list within a specified range, while the remove function eliminates the first occurrence of a particular character from the list. In Python, the del operation removes elements within a specified range from a list, while the remove function eliminates the first occurrence of a specific character in the list.", "The append function adds an element to the end of a list, while the extend function incorporates elements from an iterable to the end of the list. Python's append function adds an element to the end of a list, while the extend function appends elements from an iterable to the end of the list, enabling the addition of multiple elements at once.", 'Python lists are mutable, allowing for the modification of elements, whereas tuples are immutable, requiring reassignment for any changes. Lists in Python are mutable, enabling the modification of elements, while tuples are immutable, necessitating the reassignment of the entire tuple for any changes.', 'Docstrings in Python serve as documentation for modules, classes, functions, and methods, providing essential information and usage instructions. Docstrings in Python serve as crucial documentation, offering information and guidelines for modules, classes, functions, and methods, enhancing code understanding and usage.', 'Python supports both object-oriented and functional programming paradigms, enabling the creation of objects with specific methods and the utilization of lambda functions characteristic of the functional paradigm. Python supports object-oriented programming, allowing for the creation of objects with specific methods, and functional programming, featuring lambda functions, offering flexibility in programming approaches.', 'Python functions are first-class objects, permitting them to be assigned to variables, passed as arguments to other functions, and returned from other functions. In Python, functions are treated as first-class objects, allowing for their assignment to variables, passing as arguments to other functions, and returning from other functions, demonstrating their versatility and flexibility.']}], 'duration': 1187.098, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw40663433.jpg', 'highlights': ['Multithreading involves the concurrent execution of multiple threads, providing efficient parallel processing.', "Django's architecture includes the flow from user initiation to the rendering of web pages, incorporating models, templates, and views for efficient data handling and presentation.", 'Deep copy creates a distinct object and fills it with child objects from the original, ensuring changes in the original object do not affect the copy.', 'Shallow copy generates a distinct object filled with references to child objects in the original, causing changes in the original object to reflect in the copy.', 'NumPy arrays are written in C, making them faster than lists, as demonstrated by the significant difference in time (0.09s vs 0.003s) in performing similar operations.', 'The chapter explains the process of pickling and unpickling, with an example of saving a neural network model to a hard drive and unpickling it for use in another software program.', "The chapter provides a detailed explanation of memory management in Python, highlighting the Python memory manager's control over the heap space and its management of various aspects like sharing, caching, segmentation, and allocation.", 'The chapter clarifies that arguments in Python are passed by reference, resulting in changes made within a function being reflected on the original object.', 'The process of generating random numbers in Python using the random module and its functions is detailed, including the generation of random float values and numbers within a specified range.', 'When merging lists, tuples, or strings in Python using the plus operator, the elements are concatenated together, providing a straightforward method for sequence merging.', "Python's built-in lstrip function effectively removes all leading whitespace from a string, while the strip function can remove both leading and trailing whitespace.", 'In Python, the replace function allows for the seamless replacement of all instances of a substring with a new string, with the count parameter providing the option to specify the number of replacements to be made.', "Python's del operation removes elements within a specified range from a list, while the remove function eliminates the first occurrence of a specific character in the list.", "Python's append function adds an element to the end of a list, while the extend function appends elements from an iterable to the end of the list, enabling the addition of multiple elements at once.", 'Lists in Python are mutable, enabling the modification of elements, while tuples are immutable, necessitating the reassignment of the entire tuple for any changes.', 'Docstrings in Python serve as crucial documentation, offering information and guidelines for modules, classes, functions, and methods, enhancing code understanding and usage.', 'Python supports object-oriented programming, allowing for the creation of objects with specific methods, and functional programming, featuring lambda functions, offering flexibility in programming approaches.', 'In Python, functions are treated as first-class objects, allowing for their assignment to variables, passing as arguments to other functions, and returning from other functions, demonstrating their versatility and flexibility.']}, {'end': 42845.697, 'segs': [{'end': 41879.452, 'src': 'embed', 'start': 41850.912, 'weight': 5, 'content': [{'end': 41858.157, 'text': 'If the file is imported from another module, then double underscore name underscore double underscore holds the name of this module.', 'start': 41850.912, 'duration': 7.245}, {'end': 41865.502, 'text': 'Number 29, what is a numpy array? And we briefly touched numpy array compared to a list earlier in processing speed.', 'start': 41858.437, 'duration': 7.065}, {'end': 41868.344, 'text': "Now let's go ahead and look at some of the more specifics.", 'start': 41865.702, 'duration': 2.642}, {'end': 41872.828, 'text': 'A numpy array is a grid of values, all of the same type.', 'start': 41868.665, 'duration': 4.163}, {'end': 41879.452, 'text': "so if they're either all float, all integer, all string, and is indexed by a tuple of non-negative integers.", 'start': 41873.268, 'duration': 6.184}], 'summary': 'Numpy array is a grid of values, faster than list. indexed by tuple of non-negative integers.', 'duration': 28.54, 'max_score': 41850.912, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw41850912.jpg'}, {'end': 42010.611, 'src': 'embed', 'start': 41980.194, 'weight': 2, 'content': [{'end': 41984.515, 'text': 'Test set equals a numpy array of arrays.', 'start': 41980.194, 'duration': 4.321}, {'end': 41987.851, 'text': 'We have 0, 1, 2, 1, 2, 3.', 'start': 41984.575, 'duration': 3.276}, {'end': 41990.596, 'text': "What's important here is that one, it's a numpy.", 'start': 41987.856, 'duration': 2.74}, {'end': 41992.417, 'text': 'So that leaves A out.', 'start': 41990.857, 'duration': 1.56}, {'end': 41997.02, 'text': "And then we're stuck with three other options, and I'm going to say the D is out, none of these.", 'start': 41992.797, 'duration': 4.223}, {'end': 42003.065, 'text': "And let's look at np.concatenate versus np.vstack.", 'start': 41997.321, 'duration': 5.744}, {'end': 42010.611, 'text': 'Concatenate would put one set after the other, so you would end up with probably give you an error because one set is 1, 2, 3,', 'start': 42003.386, 'duration': 7.225}], 'summary': 'The transcript discusses numpy arrays, comparing np.concatenate and np.vstack for data manipulation.', 'duration': 30.417, 'max_score': 41980.194, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw41980194.jpg'}, {'end': 42158.509, 'src': 'embed', 'start': 42130.616, 'weight': 4, 'content': [{'end': 42138.324, 'text': 'below we have df name and df location, colon comma brackets around asterisks, around name, comma where.', 'start': 42130.616, 'duration': 7.708}, {'end': 42148.227, 'text': 'and then we have df equals, pd data frame, aabbxxuu, comma 21, 16, 50, 33 columns equal name and age.', 'start': 42138.324, 'duration': 9.903}, {'end': 42150.727, 'text': "so let's take a look and see what they're looking at.", 'start': 42148.227, 'duration': 2.5}, {'end': 42154.468, 'text': 'we have just glancing at the questions they want to know.', 'start': 42150.727, 'duration': 3.741}, {'end': 42158.509, 'text': 'is it the original data frame or is it the copy of the data frame?', 'start': 42154.468, 'duration': 4.041}], 'summary': 'Using pandas, a data frame with 4 columns and 4 rows is being analyzed to determine if it is the original or a copy.', 'duration': 27.893, 'max_score': 42130.616, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw42130616.jpg'}, {'end': 42242.16, 'src': 'embed', 'start': 42179.125, 'weight': 0, 'content': [{'end': 42183.168, 'text': "don't allow you that you're always taking a slice and it is always a copy.", 'start': 42179.125, 'duration': 4.043}, {'end': 42186.351, 'text': 'So C, both are copies of the original data frame.', 'start': 42183.389, 'duration': 2.962}, {'end': 42187.011, 'text': 'Number 36.', 'start': 42186.491, 'duration': 0.52}, {'end': 42192.735, 'text': 'You get the following error while trying to read a file temp.csv using pandas.', 'start': 42187.011, 'duration': 5.724}, {'end': 42195.777, 'text': "Which of the following could correct it? So here's our error.", 'start': 42193.015, 'duration': 2.762}, {'end': 42197.778, 'text': 'Trace back most recent call last.', 'start': 42195.977, 'duration': 1.801}, {'end': 42199.959, 'text': 'File input line one in module.', 'start': 42197.898, 'duration': 2.061}, {'end': 42201.921, 'text': 'Unicode encode error.', 'start': 42200.2, 'duration': 1.721}, {'end': 42205.303, 'text': "ASCII codex can't encode character.", 'start': 42202.181, 'duration': 3.122}, {'end': 42207.204, 'text': 'Ooh, I hate it when that one comes up.', 'start': 42205.323, 'duration': 1.881}, {'end': 42209.161, 'text': 'And we have four different entries.', 'start': 42207.54, 'duration': 1.621}, {'end': 42214.505, 'text': "We'll go ahead and just pretend that D doesn't exist unless we really can't fit it into one of the other answers.", 'start': 42209.341, 'duration': 5.164}, {'end': 42220.429, 'text': 'And the first one is pdreadcsv has our file compression equals gzip.', 'start': 42214.885, 'duration': 5.544}, {'end': 42224.472, 'text': 'Well, gzip is just an unzipping and you actually get a zip error on there.', 'start': 42220.669, 'duration': 3.803}, {'end': 42227.094, 'text': 'The second one is dialect equals string.', 'start': 42224.572, 'duration': 2.522}, {'end': 42230.096, 'text': 'Again, not an encoding or coding setup.', 'start': 42227.214, 'duration': 2.882}, {'end': 42233.717, 'text': 'and then we have encoding equals utf-8.', 'start': 42230.396, 'duration': 3.321}, {'end': 42237.338, 'text': 'well, that would be the encoding error switching it from the character code.', 'start': 42233.717, 'duration': 3.621}, {'end': 42239.879, 'text': "there's utf-8, there is unicode.", 'start': 42237.338, 'duration': 2.541}, {'end': 42241.72, 'text': "that's the most common two that goes between.", 'start': 42239.879, 'duration': 1.841}, {'end': 42242.16, 'text': 'so really,', 'start': 42241.72, 'duration': 0.44}], 'summary': 'Error in reading temp.csv with pandas. options: gzip, string dialect, utf-8 encoding.', 'duration': 63.035, 'max_score': 42179.125, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw42179125.jpg'}], 'start': 41850.912, 'title': 'Data manipulation using numpy and pandas', 'summary': 'The content introduces numpy arrays and matrices, covers indexing and stacking of numpy arrays, accessing csv data in python using pandas, and techniques for data manipulation using pandas and numpy including data visualization using seaborn library.', 'chapters': [{'end': 41911.522, 'start': 41850.912, 'title': 'Understanding numpy arrays and matrices', 'summary': 'Introduces numpy arrays and matrices, highlighting the grid of values, processing speed compared to lists, and the difference between arrays and matrices.', 'duration': 60.61, 'highlights': ['An array within another array forms a matrix, indicating the relationship between arrays and matrices.', 'A numpy array is a grid of values, all of the same type, showing the key characteristic of numpy arrays.', 'A matrix comes from linear algebra and is a two-dimensional representation of data, providing the definition of a matrix and its association with linear algebra.', 'The chapter briefly compared numpy array to a list in terms of processing speed, emphasizing the efficiency of numpy arrays.']}, {'end': 42085.714, 'start': 41911.903, 'title': 'Numpy array indexing and stacking', 'summary': 'Covers indexing the n maximum values in a numpy array, obtaining resulting sets from train and test sets, and importing a decision tree classifier in sklearn.', 'duration': 173.811, 'highlights': ['Obtaining the resulting set from the train set and the test set involves using np.vstack to vertically stack the arrays. Using np.vstack to stack the train set and test set vertically provides the resulting set.', 'Indexing the n maximum values in a numpy array is achieved by sorting the array and then selecting the top n indexes. Sorting the numpy array and selecting the top n indexes allows for retrieving the indexes of n maximum values.', "Importing a decision tree classifier in sklearn involves using 'from sklearn.tree import DecisionTreeClassifier'. The correct method to import a decision tree classifier in sklearn is 'from sklearn.tree import DecisionTreeClassifier'."]}, {'end': 42374.437, 'start': 42085.714, 'title': 'Accessing csv data in python and understanding pandas functions', 'summary': 'Covers accessing csv data in python using pandas, understanding the difference between data series, correcting errors while reading a file, setting line width in a plot, resetting the index of a data frame, copying objects in python, and differentiating between range and x range functions in python.', 'duration': 288.723, 'highlights': ["Accessing CSV data in Python using pandas is important, and it involves generating a link from Google Docs, using string IO to get the content, and using 'pd.read_csv' function. It's important to note that accessing CSV data in Python using pandas involves generating a link from Google Docs, using string IO to get the content, and using 'pd.read_csv' function.", "Understanding the difference between two data series involves recognizing whether it's the original data frame or a copy, which is crucial when working with pandas. Understanding the difference between two data series involves recognizing whether it's the original data frame or a copy, which is crucial when working with pandas.", "Correcting the Unicode encode error while reading a file involves understanding the difference between 'utf-8' and 'unicode' encoding, and choosing the correct encoding method. Correcting the Unicode encode error while reading a file involves understanding the difference between 'utf-8' and 'unicode' encoding, and choosing the correct encoding method.", "Setting the line width in a plot requires using 'lw' for line width in PyPlot library, which is important for creating visualizations. Setting the line width in a plot requires using 'lw' for line width in PyPlot library, which is important for creating visualizations.", 'Re-indexing a data frame to a given list involves understanding the concept of re-indexing and bringing in a new index outside of the data frame to a given list. Re-indexing a data frame to a given list involves understanding the concept of re-indexing and bringing in a new index outside of the data frame to a given list.']}, {'end': 42845.697, 'start': 42374.437, 'title': 'Pandas, numpy, and data manipulation', 'summary': 'Covers techniques for data manipulation using pandas and numpy, including checking for empty data frames, sorting arrays, creating series from lists and dictionaries, finding unique values, replacing values in a series, finding multiples of 3, computing euclidean distance, reversing data frame rows, and avoiding overfitting in train-test splits. it also discusses the seaborn library for data visualization in python.', 'duration': 471.26, 'highlights': ['The chapter covers techniques for data manipulation using Pandas and NumPy, including checking for empty data frames, sorting arrays, creating series from lists and dictionaries, finding unique values, replacing values in a series, finding multiples of 3, computing Euclidean distance, reversing data frame rows, and avoiding overfitting in train-test splits. It also discusses the Seaborn library for data visualization in Python. covers data manipulation techniques using Pandas and NumPy, including checking for empty data frames, sorting arrays, creating series, finding unique values, replacing values, finding multiples of 3, computing Euclidean distance, reversing data frame rows, avoiding overfitting in train-test splits, and introducing the Seaborn library for data visualization', 'Seaborn is a data visualization library in Python that provides a high level interface for drawing statistical information of informative graphs. Seaborn is a data visualization library in Python, offering a high-level interface for drawing informative statistical graphs', 'It is possible to overfit a model when splitting data into train-test splits by retuning a model or training new models with different parameters after seeing its performance on the test set. overfitting is possible when tuning or training models with different parameters after observing test set performance']}], 'duration': 994.785, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/ITSMDeOgXxw/pics/ITSMDeOgXxw41850912.jpg', 'highlights': ['The chapter covers techniques for data manipulation using Pandas and NumPy, including checking for empty data frames, sorting arrays, creating series, finding unique values, replacing values, finding multiples of 3, computing Euclidean distance, reversing data frame rows, avoiding overfitting in train-test splits, and introducing the Seaborn library for data visualization', 'Seaborn is a data visualization library in Python, offering a high-level interface for drawing informative statistical graphs', "Understanding the difference between two data series involves recognizing whether it's the original data frame or a copy, which is crucial when working with pandas", "Accessing CSV data in Python using pandas involves generating a link from Google Docs, using string IO to get the content, and using 'pd.read_csv' function", 'An array within another array forms a matrix, indicating the relationship between arrays and matrices', 'Indexing the n maximum values in a numpy array is achieved by sorting the array and then selecting the top n indexes', "Setting the line width in a plot requires using 'lw' for line width in PyPlot library, which is important for creating visualizations", "The correct method to import a decision tree classifier in sklearn is 'from sklearn.tree import DecisionTreeClassifier'", 'It is possible to overfit a model when splitting data into train-test splits by retuning a model or training new models with different parameters after seeing its performance on the test set', 'A numpy array is a grid of values, all of the same type, showing the key characteristic of numpy arrays']}], 'highlights': ["Python's exponential growth in popularity is evidenced by high rankings in surveys like the Tyobey Index and the vast number of Python-based GitHub projects.", 'The average base salary of Python developers in the US is $105,000, with a potential to reach $170,000 annually.', "Python's large library system makes it a best choice for data science, machine learning, and artificial intelligence projects.", 'Python 3.9.5 is the latest version for download and installation.', 'Tech giants like Google, Meta, and Bosch hire Python developers with handsome salaries, with opportunities in India starting from at least 5.1 lakhs per annum.', 'The full Python course covers fundamental programming concepts, advanced Python programming paradigms, Spotify data analysis project, and interview question and answer preparation.', 'Covers installation of Pandas, Matplotlib, NumPy, and SciPy libraries in Python, with successful installation verified through specific commands.', 'Python developers in India earn an average salary of rupees 8,25,593 per year, while Python developers in the United States earn $1,6649 per year, as reported by indeed.com on 21st December 2022.', 'Flask takes 1 to 1.5 weeks to learn, suitable for creating straightforward, lightweight web applications, and offers capabilities like support for developing REST APIs and unit testing.', 'Python variables act as references or pointers to objects, enabling the reference of an object by its assigned name.', 'The chapter covers different numeric data types in Python, including integer, floating, and complex data types, with demonstrations on extracting real and imaginary parts from a complex number.', 'Covers manipulation of lists, dictionaries, tuples, file handling, file objects, sets, type conversion operations, number data types, and numeric operations in python, including examples and explanations.', 'The chapter provides an example of finding the logarithm of 1000 to the base 10, resulting in 3.0.', "Python performs string multiplication using the * operator, demonstrated as str1 multiplied by 3 resulting in 'Python' printed thrice.", "The chapter explains the functionality of identity operators by demonstrating the comparison of variables with the 'is' and 'is not' operators, showcasing how they evaluate to true or false based on object references and memory locations.", 'The program calculates and prints the shipping cost for specific states in the United States based on the total amount of items using nested if statements, providing quantifiable data.', 'The chapter demonstrates how to sort lists in ascending and descending order using for loops and the sorted function, with an example of sorting a list of numbers and a list of strings.', 'The chapter covers the usage of important built-in Python functions such as pow, range, round, sorted, and slice, providing examples and demonstrating their functionality.', 'The chapter covers user-defined functions in Python, including simple functions, functions with different parameters, passing arguments, default arguments, scope of variables, *args in function definitions, and finding the area of a circle and sphere.', 'The chapter covers creating classes, objects, methods, inheritance, polymorphism, encapsulation, and abstraction in Python.', 'The chapter explains the concept of single, multilevel, and multiple inheritance in Python, highlighting the ability of child classes to inherit features from parent classes.', 'Generator pipelines are advantageous for breaking complex processing into smaller pieces, simplifying the code and enabling invocation in a pipeline fashion.', 'Python modules enable reusability and ease complex tasks in a project by organizing code and creating user-defined modules, essential for large teams.', 'The chapter covers techniques for data manipulation using Pandas and NumPy, including checking for empty data frames, sorting arrays, creating series, finding unique values, replacing values, finding multiples of 3, computing Euclidean distance, reversing data frame rows, avoiding overfitting in train-test splits, and introducing the Seaborn library for data visualization']}