title
M1 Max/Pro vs M1 Macbook for Data Science.... should you?!?

description
Parallels 14-day Free Trial 👉🏼 https://lukeb.co/ParallelsFreeTrial How does the new M1 chip from Apple compare to the M1 Max and Pro chips? I set out to test the M1 chip on my 13" Macbook Pro against an M1 Max chip on my 14" Macbook Pro. For the tests, I compared the use of popular data science applications such as: Python, R, Excel, Tableau, Microsoft Power BI, Parallels (Virtual Machines), Docker (Containers), SQL, and the Terminal (Command Line). How To Install Windows 11: ==================================== 1. Install Parallels 👉🏼 https://lukeb.co/ParallelsFreeTrial 2. Sign-up Windows Insider Program 👉🏼 https://insider.windows.com/en-us/register 3. Download Windows 11 for ARM64 👉🏼 https://www.microsoft.com/en-us/software-download/windowsinsiderpreviewARM64 4. Double-click on '.VHDX' file to Install Windows 11 in Parallels MORE HELP HERE 👉🏼 [https://youtu.be/hWs_q9NBBKM](https://youtu.be/hWs_q9NBBKM) @JordanHarrod's Video: https://youtu.be/p7SXrrYOaME @AZisk's Video: https://youtu.be/N6e8NUNHFWo Certificates & Courses ================================== DataCamp: Python 👉🏼 https://lukeb.co/PythonBasicsDataCamp Power BI 👉🏼 https://lukeb.co/PowerBIDataCamp Tableau 👉🏼 https://lukeb.co/TableauDataCamp R 👉🏼 https://lukeb.co/RDataCamp Data Analyst w/ Python 👉🏼 https://lukeb.co/PythonAnalystDataCamp DataCamp Subscription (Monthly $25USD) 👉🏼 https://lukeb.co/DataCampSub Coursera: Google Data Analytics Certificate (BEGINNERS START HERE) 👉🏼 https://lukeb.co/GoogleCert Python for Everybody 👉🏼 https://lukeb.co/PythonForEverybody SQL 👉🏼 https://lukeb.co/PostgresSQLUofM Coursera Plus Subscription (Monthly $59USD) 👉🏼 https://lukeb.co/CourseraMonthly Coursera Plus Subscription (Annual $399USD) 👉🏼 https://lukeb.co/CourseraYearly Build a Portfolio Website ================================== Create website here 👉🏼 http://hostinger.com/luke Rebate Code: "LUKE" (Save up to 91% on annual plans at checkout) My Portfolio 👉🏼 https://lukebarousse.tech/ Recommended Books ================================== 📚 All Book Recommendations 👉🏼 https://kit.co/lukebarousse/book-recommendations 📗 Data Science Must Read 👉🏼 https://geni.us/StorytellingWithData 📙 Tableau 👉🏼 https://geni.us/tableau 📘 Power BI👉🏼 https://geni.us/powerbi 📕 Python 👉🏼 https://geni.us/pythontricks Tech for Data Science ================================== 💻 Dell New XPS 13 (PC of choice) 👉🏼 https://geni.us/DellNewXPS13 💻 Dell New XPS 15 👉🏼 https://geni.us/DellNewXPS15 👨🏼‍💻 M1 Macbook Air 8GB (Mac of choice) 👉🏼 https://geni.us/M1macAir8GB 👨🏼‍💻 M1 Macbook Pro 8GB 👉🏼 https://geni.us/M1macPro8GB 🔌 Must-have Mac dock 👉🏼 https://geni.us/CalDigitTS3 🖥 M1 Multiple monitor adapter 👉🏼 https://geni.us/DisplayLinkAdapter ⌨️ Mac Keyboard 👉🏼 https://geni.us/MacMagicKeyboard 🖱 Mac Mouse 👉🏼 https://geni.us/MacMagicMouse 💾 Small (1TB) External HD 👉🏼 https://geni.us/WDelements1TB 💾 Large (14TB) External HD 👉🏼 https://geni.us/WDelements14TB 🏢 Standing Desk 👉🏼 https://geni.us/StandingDeskFezibo 📸 Camera of Choice 👉🏼 https://geni.us/SonyA6600body *For computers, I recommend checking the manufacturer's website (i.e., dell.com) for deals/rebates* Social Media / Contact Me ====================== 🙋🏼‍♂️Newsletter: https://www.lukebarousse.com/ 🌄 Instagram: https://www.instagram.com/lukebarousse/ ⏰ TikTok: https://www.tiktok.com/@lukebarousse 📘 Facebook: https://www.facebook.com/datavizbyluke 📥 Business Inquiries: luke@lukebarousse.com 00:00 Intro 01:24 Tests to perform 02:01 Computers & Benchmarking 03:23 Python & R 06:14 Tableau 07:08 Power BI 07:46 Virtual Machines - Parallels 10:51 Containers - Docker 12:01 Excel 12:45 SQL 13:24 Terminal - Homebrew 13:50 Final Recommendation As a member of the Amazon, Coursera, Hostinger, Parallels, and Data Camp Affiliate Programs, I earn a commission from qualifying purchases on the links above. It costs you nothing but helps me with content creation. #datanerd #dataanalyst #datascience

detail
{'title': 'M1 Max/Pro vs M1 Macbook for Data Science.... should you?!?', 'heatmap': [{'end': 212.238, 'start': 193.009, 'weight': 0.857}, {'end': 664.856, 'start': 639.775, 'weight': 0.755}, {'end': 772.993, 'start': 755.842, 'weight': 0.761}, {'end': 865.15, 'start': 821.215, 'weight': 1}], 'summary': 'Compares m1 max and m1 pro macbook pro with m1 mac and windows pc for data analysis, covering programming languages, data visualization, virtualization tools, and benchmarking tests. it discusses the performance of m1 pro and m1 max chips in data science, including their performance in programming languages like python and r, and machine learning tools like tensorflow and pytorch.', 'chapters': [{'end': 193.009, 'segs': [{'end': 24.564, 'src': 'embed', 'start': 0.049, 'weight': 2, 'content': [{'end': 6.373, 'text': "I've been using this 13-inch M1 MacBook Pro in my day job as a data analyst over the past year.", 'start': 0.049, 'duration': 6.324}, {'end': 14.118, 'text': 'And recently, I just upgraded to this 14-inch M1 Max MacBook Pro, and this thing is really powerful.', 'start': 6.973, 'duration': 7.145}, {'end': 19.301, 'text': 'But are these new M1 Maxes and also M1 Pros worth the inflated cost?', 'start': 14.438, 'duration': 4.863}, {'end': 24.564, 'text': 'Are you better off sticking with something like the M1 Mac or, better yet, even just a Windows PC??', 'start': 19.801, 'duration': 4.763}], 'summary': 'Upgraded to 14-inch m1 max macbook pro, powerful but worth the cost?', 'duration': 24.515, 'max_score': 0.049, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/1sQDJSQBUe4/pics/1sQDJSQBUe449.jpg'}, {'end': 105.812, 'src': 'embed', 'start': 79.374, 'weight': 5, 'content': [{'end': 84.318, 'text': "and i've really seen over the last year a lot of these issues get fixed, but i want to address some of them today.", 'start': 79.374, 'duration': 4.944}, {'end': 93.163, 'text': "so for this i'll be sharing my experience for using both these machines for data science and hopefully by the end you'll have a better understanding of which m1 chip you should be going with,", 'start': 84.318, 'duration': 8.845}, {'end': 96.205, 'text': 'or if you should be maybe considering just going with a windows pc instead.', 'start': 93.163, 'duration': 3.042}, {'end': 101.189, 'text': "Since there's so many tools that can be used for data science, we're going to be looking at them in buckets, if you will.", 'start': 96.505, 'duration': 4.684}, {'end': 105.812, 'text': "First, we're going to look at programming languages such as Python and R, and we'll also go into machine learning.", 'start': 101.369, 'duration': 4.443}], 'summary': 'Comparison of m1 chip and windows pc for data science tools and languages.', 'duration': 26.438, 'max_score': 79.374, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/1sQDJSQBUe4/pics/1sQDJSQBUe479374.jpg'}, {'end': 176.805, 'src': 'embed', 'start': 131.655, 'weight': 0, 'content': [{'end': 134.417, 'text': "And this is what I've been using over the past year as a data analyst.", 'start': 131.655, 'duration': 2.762}, {'end': 142.966, 'text': 'For my new Mac, this is a 14-inch M1 Max MacBook Pro with 64 gigabytes of unified memory and a 10-core CPU.', 'start': 134.437, 'duration': 8.529}, {'end': 148.049, 'text': "The amount of memory that this Mac has is slightly overkill, and we'll discuss more on that later.", 'start': 143.246, 'duration': 4.803}, {'end': 155.834, 'text': 'Because the M1 chip and also the M1 Pro and M1 Max are all in that same ARM architecture of that chip.', 'start': 148.249, 'duration': 7.585}, {'end': 158.436, 'text': "if an application works on one, it's also going to work on the other.", 'start': 155.834, 'duration': 2.602}, {'end': 161.778, 'text': 'The main difference between this comes down to performance,', 'start': 158.476, 'duration': 3.302}, {'end': 170.984, 'text': 'which is shown here shows how the M1 Pro and M1 Max chips can perform up to 1.7 times better than the M1 chips and also an Intel i7 chip.', 'start': 161.778, 'duration': 9.206}, {'end': 176.805, 'text': 'Another way to show this performance is through benchmarking tools such as Geekbench,', 'start': 171.664, 'duration': 5.141}], 'summary': 'A 14-inch m1 max macbook pro with 64gb ram outperforms m1 and intel i7 chips by up to 1.7 times in benchmark tests.', 'duration': 45.15, 'max_score': 131.655, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/1sQDJSQBUe4/pics/1sQDJSQBUe4131655.jpg'}], 'start': 0.049, 'title': 'Performance comparison of m1 max/m1 pro and windows pc for data analysis and science', 'summary': 'Compares the performance of m1 max and m1 pro macbook pro with m1 mac and windows pc for data analysis and discusses the experience of using m1 and windows pc for data science, covering programming languages, data visualization, virtualization tools, and benchmarking tests.', 'chapters': [{'end': 39.438, 'start': 0.049, 'title': 'M1 max vs m1 pro for data analysis', 'summary': "Discusses the performance of the new m1 max and m1 pro macbook pro for data analysis, highlighting the upgrade's power and questioning its value compared to the m1 mac or windows pc.", 'duration': 39.389, 'highlights': ['The new 14-inch M1 Max MacBook Pro is highlighted as powerful, raising the question of its value compared to the M1 Mac or Windows PC.', 'The speaker has been using the 13-inch M1 MacBook Pro as a data analyst, and recently upgraded to the 14-inch M1 Max MacBook Pro, emphasizing the significant impact of the upgrade.', "The chapter investigates the performance of the new M1 chips for data science tools, providing a practical angle for evaluating the M1 Max and M1 Pro's suitability for data analysis."]}, {'end': 193.009, 'start': 39.438, 'title': 'M1 vs windows pc for data science', 'summary': 'Discusses the experience of using m1 and windows pc for data science, comparing their performance, and addressing the issues faced, focusing on programming languages, data visualization, virtualization tools, and benchmarking tests.', 'duration': 153.571, 'highlights': ['The M1 Pro and M1 Max chips can perform up to 1.7 times better than the M1 chips and also an Intel i7 chip. The performance comparison shows the M1 Pro and M1 Max chips outperforming the M1 and Intel i7 chips by up to 1.7 times.', 'The chapter discusses the experience of using M1 and Windows PC for data science, comparing their performance, and addressing the issues faced, focusing on programming languages, data visualization, virtualization tools, and benchmarking tests. The chapter provides insights into using M1 and Windows PC for data science, highlighting performance comparison, issues faced, and focus areas.', "The 14-inch M1 Max MacBook Pro with 64 gigabytes of unified memory and a 10-core CPU is discussed as an overkill in terms of memory, which will be elaborated further. The discussion of the 14-inch M1 Max MacBook Pro's excessive memory and its implications is highlighted for further elaboration."]}], 'duration': 192.96, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/1sQDJSQBUe4/pics/1sQDJSQBUe449.jpg', 'highlights': ['The M1 Pro and M1 Max chips outperform M1 and Intel i7 chips by up to 1.7 times.', "The 14-inch M1 Max MacBook Pro's excessive memory and its implications are highlighted for further elaboration.", 'The new 14-inch M1 Max MacBook Pro is highlighted as powerful, raising the question of its value compared to the M1 Mac or Windows PC.', 'The speaker has been using the 13-inch M1 MacBook Pro as a data analyst, and recently upgraded to the 14-inch M1 Max MacBook Pro, emphasizing the significant impact of the upgrade.', "The chapter investigates the performance of the new M1 chips for data science tools, providing a practical angle for evaluating the M1 Max and M1 Pro's suitability for data analysis.", 'The chapter discusses the experience of using M1 and Windows PC for data science, comparing their performance, and addressing the issues faced, focusing on programming languages, data visualization, virtualization tools, and benchmarking tests.']}, {'end': 718.773, 'segs': [{'end': 218.92, 'src': 'heatmap', 'start': 193.009, 'weight': 0.857, 'content': [{'end': 203.414, 'text': 'we can see how the new M1 Pro and M1 Max chips perform relative to the M1 chip and also to other computers that are working on an Intel i7 or i9 processor.', 'start': 193.009, 'duration': 10.405}, {'end': 207.196, 'text': "All right, so let's start looking at tools, and we're gonna start with programming languages first.", 'start': 203.634, 'duration': 3.562}, {'end': 212.238, 'text': "The most popular languages right now in data science are Python and R, so that's what I really focused on.", 'start': 207.556, 'duration': 4.682}, {'end': 218.92, 'text': "For R, I have it installed with RStudio, and I can say that it's worked seamlessly on both of these Macs.", 'start': 212.438, 'duration': 6.482}], 'summary': 'Comparison of m1 pro and m1 max chips with intel i7 and i9 processors in data science performance.', 'duration': 25.911, 'max_score': 193.009, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/1sQDJSQBUe4/pics/1sQDJSQBUe4193009.jpg'}, {'end': 255.236, 'src': 'embed', 'start': 228.464, 'weight': 1, 'content': [{'end': 234.807, 'text': "For my text editor, I've been using VS Code, although I have used Atom and also PyCharm in the past on my M1 Mac.", 'start': 228.464, 'duration': 6.343}, {'end': 241.731, 'text': "Overall, I've had zero issues with package or library support for Python using these Macs.", 'start': 235.127, 'duration': 6.604}, {'end': 249.915, 'text': 'I did perform a speed test running a Jupyter Notebook on both the M1 and the M1 Macs, and the results were shockingly close.', 'start': 242.071, 'duration': 7.844}, {'end': 255.236, 'text': 'with the M1 Max only performing 4% faster than the M1.', 'start': 250.635, 'duration': 4.601}], 'summary': 'Vs code, atom, and pycharm used on m1 mac with no issues. m1 max only 4% faster than m1 in jupyter notebook speed test.', 'duration': 26.772, 'max_score': 228.464, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/1sQDJSQBUe4/pics/1sQDJSQBUe4228464.jpg'}, {'end': 350.386, 'src': 'embed', 'start': 319.79, 'weight': 0, 'content': [{'end': 323.472, 'text': "but none of them obviously performed as well as Nvidia's Tesla V100.", 'start': 319.79, 'duration': 3.682}, {'end': 327.894, 'text': 'So when it comes to getting one of these new M1s for machine learning, it really depends.', 'start': 323.512, 'duration': 4.382}, {'end': 335.898, 'text': "I agree with Jordan's recommendation where she said that for researchers and those in the tech industries working on larger machine learning models,", 'start': 328.434, 'duration': 7.464}, {'end': 339.9, 'text': "the difference in the speed of these M1 chips isn't really going to matter,", 'start': 335.898, 'duration': 4.002}, {'end': 343.882, 'text': "as you're typically going to be training your models on some sort of remote machine.", 'start': 339.9, 'duration': 3.982}, {'end': 350.386, 'text': "Now for those that need to play around with machine learning models locally, or maybe they're competing in some sort of Kaggle competition.", 'start': 344.282, 'duration': 6.104}], 'summary': "Nvidia's tesla v100 outperformed all, m1's speed matters for local machine learning.", 'duration': 30.596, 'max_score': 319.79, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/1sQDJSQBUe4/pics/1sQDJSQBUe4319790.jpg'}, {'end': 561.199, 'src': 'embed', 'start': 533.187, 'weight': 2, 'content': [{'end': 541.193, 'text': "But since I've upgraded to Parallels 17, I really haven't noticed this lagginess when using Power BI on the M1 Mac.", 'start': 533.187, 'duration': 8.006}, {'end': 545.174, 'text': 'Now, when it comes to using parallels on the M1 Max chip,', 'start': 541.733, 'duration': 3.441}, {'end': 551.516, 'text': "I can definitely notice an increase in performance and I don't notice any lag whatsoever on this M1 Max.", 'start': 545.174, 'duration': 6.342}, {'end': 554.697, 'text': 'So closing out that previous section for Power BI on a Mac.', 'start': 551.756, 'duration': 2.941}, {'end': 561.199, 'text': 'Yes, Power BI can work on a Mac, but it requires a workaround with a virtual machine such as Parallels.', 'start': 555.237, 'duration': 5.962}], 'summary': 'Parallels 17 upgrade eliminates lagginess in power bi on m1 mac, parallels boosts m1 max chip performance, power bi on mac needs parallels vm workaround.', 'duration': 28.012, 'max_score': 533.187, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/1sQDJSQBUe4/pics/1sQDJSQBUe4533187.jpg'}, {'end': 664.856, 'src': 'heatmap', 'start': 639.775, 'weight': 0.755, 'content': [{'end': 646.139, 'text': 'Having used Windows on both these machines, I can say without a doubt it is faster than the M1 Macs,', 'start': 639.775, 'duration': 6.364}, {'end': 652.303, 'text': "but I don't know if the price is really worth that money, unless you're heavily working in Windows all the time.", 'start': 646.139, 'duration': 6.164}, {'end': 655.326, 'text': 'Last up in virtualization options are containers.', 'start': 652.503, 'duration': 2.823}, {'end': 664.856, 'text': 'Containers are really growing in popularity in the data science field for the ability to build applications within this container if you will,', 'start': 655.766, 'duration': 9.09}], 'summary': 'Windows is faster than m1 macs, but not worth the price unless heavily working in windows. containers growing in popularity for data science.', 'duration': 25.081, 'max_score': 639.775, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/1sQDJSQBUe4/pics/1sQDJSQBUe4639775.jpg'}, {'end': 710.126, 'src': 'embed', 'start': 674.523, 'weight': 3, 'content': [{'end': 679.365, 'text': 'in order to maybe move data or do some data transformation from one location to another.', 'start': 674.523, 'duration': 4.842}, {'end': 683.007, 'text': 'Anyway, the most popular container tool is Docker right now.', 'start': 679.665, 'duration': 3.342}, {'end': 687.529, 'text': 'And earlier this year, it was actually rebuilt in order to work for the M1 chip.', 'start': 683.727, 'duration': 3.802}, {'end': 694.714, 'text': "Since I've been using it on my M1 and also M1 Max chip, I haven't really noticed any issues with it and thought it's been performing pretty well.", 'start': 688.129, 'duration': 6.585}, {'end': 710.126, 'text': 'Alexander did a review on his channel comparing docker performance on the different M1 chips and it was very interesting to see that the core M1 chip specifically it was a MacBook Air kept up with the M1 Pro and M1 Max chips,', 'start': 694.874, 'duration': 15.252}], 'summary': "Docker, now compatible with m1 chip, shows strong performance in alexander's review.", 'duration': 35.603, 'max_score': 674.523, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/1sQDJSQBUe4/pics/1sQDJSQBUe4674523.jpg'}], 'start': 193.009, 'title': 'M1 pro and m1 max chips', 'summary': "Discusses the performance of m1 pro and m1 max chips in data science, including their performance in programming languages like python and r, and machine learning tools like tensorflow and pytorch. the m1 max performed 4% faster than the m1 in running a jupyter notebook and outperformed the m1 pro in machine learning tasks, but still fell short compared to nvidia's tesla v100.", 'chapters': [{'end': 376.082, 'start': 193.009, 'title': 'Performance of m1 pro and m1 max chips', 'summary': "Discusses the performance of the new m1 pro and m1 max chips in data science, including their performance in programming languages like python and r, and machine learning tools like tensorflow and pytorch, highlighting that the m1 max performed 4% faster than the m1 in running a jupyter notebook and outperformed the m1 pro in machine learning tasks, but still fell short compared to nvidia's tesla v100.", 'duration': 183.073, 'highlights': ['The M1 Max performed 4% faster than the M1 in running a Jupyter Notebook for Python.', "The M1 Max outperformed the M1 Pro in machine learning tasks, but fell short compared to Nvidia's Tesla V100.", "For researchers and those in the tech industries working on larger machine learning models, the difference in the speed of these M1 chips isn't really going to matter, as they typically train models on remote machines.", 'For those needing to play around with machine learning models locally or competing in Kaggle competitions, the M1 Pro or M1 Max may be considered, but the M1 is already strong enough.', 'Recommendation for hardcore machine learning experts to consider a Windows PC or a Linux machine with Nvidia GPU for robust model training.']}, {'end': 718.773, 'start': 376.082, 'title': 'Data visualization tools and virtualization on m1 mac', 'summary': 'Explores the compatibility and performance of data visualization tools tableau and power bi on m1 mac, the use of virtual machines like parallels for running windows and the performance of containers like docker on m1 and m1 max chips, showcasing the geekbench scores and the practical implications of these tools for data science work.', 'duration': 342.691, 'highlights': ['Running Power BI on M1 Mac using Parallels virtual machine Parallels virtual machine allows running Power BI on M1 Mac with improved performance, with the M1 Max chip showing no noticeable lag, and the Geekbench score reaching 7000 when allocated 32GB RAM and six cores.', 'Performance of M1 Mac and virtual machines on Geekbench The M1 Mac scores around 7000 on Geekbench, while the virtual machine on M1 Mac scores approximately 5000 with 8GB of RAM and 4-core CPU, showcasing the impressive performance of the M1 Mac and its virtualization capabilities.', 'Compatibility and performance of Docker on M1 and M1 Max chips Docker has been rebuilt to work for the M1 chip, showing good performance on both M1 and M1 Max chips, with the MacBook Air M1 chip keeping up with the M1 Pro and M1 Max chips in terms of performance.']}], 'duration': 525.764, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/1sQDJSQBUe4/pics/1sQDJSQBUe4193009.jpg', 'highlights': ["The M1 Max outperformed the M1 Pro in machine learning tasks, but fell short compared to Nvidia's Tesla V100.", 'The M1 Max performed 4% faster than the M1 in running a Jupyter Notebook for Python.', 'Running Power BI on M1 Mac using Parallels virtual machine showed improved performance, with the M1 Max chip showing no noticeable lag.', 'Docker has been rebuilt to work for the M1 chip, showing good performance on both M1 and M1 Max chips.', "For researchers and those in the tech industries working on larger machine learning models, the difference in the speed of these M1 chips isn't really going to matter, as they typically train models on remote machines."]}, {'end': 1021.85, 'segs': [{'end': 784.04, 'src': 'heatmap', 'start': 755.842, 'weight': 0, 'content': [{'end': 763.067, 'text': 'In this case, I would once again recommend using that Windows option via Parallels or even maybe even using a Windows machine instead.', 'start': 755.842, 'duration': 7.225}, {'end': 766.149, 'text': 'Or a better workaround is maybe just switch to Google Sheets.', 'start': 763.587, 'duration': 2.562}, {'end': 768.31, 'text': 'All right, next up is SQL.', 'start': 766.869, 'duration': 1.441}, {'end': 772.993, 'text': 'And SQL is the language used in order to manage and query a database.', 'start': 768.39, 'duration': 4.603}, {'end': 784.04, 'text': 'There are a lot of different popular database management systems out there, such as Postgres, MySQL, Microsoft SQL Server, SQLite, and also MongoDB.', 'start': 773.073, 'duration': 10.967}], 'summary': 'Recommend using windows via parallels or a windows machine, switch to google sheets, and sql is used for managing and querying databases with popular systems like postgres, mysql, microsoft sql server, sqlite, and mongodb.', 'duration': 43.85, 'max_score': 755.842, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/1sQDJSQBUe4/pics/1sQDJSQBUe4755842.jpg'}, {'end': 865.15, 'src': 'heatmap', 'start': 821.215, 'weight': 1, 'content': [{'end': 831.358, 'text': "It has since been upgraded to work with these M1 chips and I've had no problems installing and using the terminal via Homebrew to install new packages.", 'start': 821.215, 'duration': 10.143}, {'end': 833.198, 'text': "So let's move into my final recommendation.", 'start': 831.678, 'duration': 1.52}, {'end': 840.68, 'text': "As you can tell from this video, I've really been pushing that core M1 chip and I feel that that chip alone is going to satisfy the need.", 'start': 833.619, 'duration': 7.061}, {'end': 848.803, 'text': 'Now, for around $1, 000,, you can get a MacBook Air with the M1 chip with 8GB of unified memory,', 'start': 840.88, 'duration': 7.923}, {'end': 853.884, 'text': 'and I feel like this is the perfect starting computer if you want to work with a Mac in data science.', 'start': 848.803, 'duration': 5.081}, {'end': 865.15, 'text': "It's going to be more than enough to perform analytics with programming languages run native apps such as Tableau or VS Code basically anything that doesn't really require a VM or a container.", 'start': 854.204, 'duration': 10.946}], 'summary': 'Macbook air with m1 chip is recommended for data science, costing around $1,000 with 8gb memory.', 'duration': 43.935, 'max_score': 821.215, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/1sQDJSQBUe4/pics/1sQDJSQBUe4821215.jpg'}, {'end': 865.15, 'src': 'embed', 'start': 840.88, 'weight': 2, 'content': [{'end': 848.803, 'text': 'Now, for around $1, 000,, you can get a MacBook Air with the M1 chip with 8GB of unified memory,', 'start': 840.88, 'duration': 7.923}, {'end': 853.884, 'text': 'and I feel like this is the perfect starting computer if you want to work with a Mac in data science.', 'start': 848.803, 'duration': 5.081}, {'end': 865.15, 'text': "It's going to be more than enough to perform analytics with programming languages run native apps such as Tableau or VS Code basically anything that doesn't really require a VM or a container.", 'start': 854.204, 'duration': 10.946}], 'summary': 'Macbook air with m1 chip and 8gb memory is ideal for data science at around $1,000.', 'duration': 24.27, 'max_score': 840.88, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/1sQDJSQBUe4/pics/1sQDJSQBUe4840880.jpg'}, {'end': 931.715, 'src': 'embed', 'start': 905.327, 'weight': 3, 'content': [{'end': 910.228, 'text': 'Now, what about that special case that when would I consider getting an M1 Max or an M1 Pro?', 'start': 905.327, 'duration': 4.901}, {'end': 915.43, 'text': 'Keep in mind that this has a 10-core CPU instead of an 8-core CPU of the M1 chip.', 'start': 910.909, 'duration': 4.521}, {'end': 921.712, 'text': 'And also, you can get up to 64 gigabytes of unified memory versus only 16 gigabytes of unified memory.', 'start': 915.77, 'duration': 5.942}, {'end': 931.715, 'text': "The only really case that I would consider upgrading to this M1 Pro or M1 Max is if you're using virtual machines such as Windows pretty heavily for your job,", 'start': 922.032, 'duration': 9.683}], 'summary': 'Consider m1 pro or m1 max for heavy use of virtual machines, offering 10-core cpu and up to 64gb unified memory.', 'duration': 26.388, 'max_score': 905.327, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/1sQDJSQBUe4/pics/1sQDJSQBUe4905327.jpg'}, {'end': 1021.85, 'src': 'embed', 'start': 1000.565, 'weight': 4, 'content': [{'end': 1005.007, 'text': 'So for those situations, I would recommend having at minimum about 512 gigabytes of storage.', 'start': 1000.565, 'duration': 4.442}, {'end': 1009.192, 'text': 'So remember, you can always add external storage later.', 'start': 1006.368, 'duration': 2.824}, {'end': 1010.794, 'text': "So storage to me isn't a big of a concern.", 'start': 1009.212, 'duration': 1.582}, {'end': 1012.296, 'text': "It's the memory you need to worry about.", 'start': 1010.854, 'duration': 1.442}, {'end': 1016.482, 'text': 'And if you have the money, spend it to invest in it to get that extra memory.', 'start': 1012.557, 'duration': 3.925}, {'end': 1020.227, 'text': 'So as always, if you found this video useful, smash that like button.', 'start': 1016.883, 'duration': 3.344}, {'end': 1021.85, 'text': "And with that, I'll see you in the next one.", 'start': 1020.468, 'duration': 1.382}], 'summary': 'Recommend 512gb storage, prioritize memory, invest in extra memory.', 'duration': 21.285, 'max_score': 1000.565, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/1sQDJSQBUe4/pics/1sQDJSQBUe41000565.jpg'}], 'start': 719.013, 'title': 'Analytical tools and m1 chip performance', 'summary': 'Covers the use of excel and sql for analytical tasks, emphasizing excel for windows and various database management systems, along with recommendations for data science tasks on m1 and m1 max chips, suggesting the 8gb macbook air with m1 chip for most tasks and advising on upgrades for heavier usage.', 'chapters': [{'end': 784.04, 'start': 719.013, 'title': 'Analytical tools and performance', 'summary': 'Covers the use of excel and sql for analytical tasks, highlighting the importance of considering excel for windows for more powerful features and the variety of popular database management systems available for sql.', 'duration': 65.027, 'highlights': ['Excel for Mac has limitations in using powerful tools like Power Query, Power Pivot or VBA, prompting consideration for switching to Excel for Windows or Google Sheets. (Relevance: 5)', 'SQL is the language used to manage and query databases, with popular database management systems including Postgres, MySQL, Microsoft SQL Server, SQLite, and MongoDB. (Relevance: 4)']}, {'end': 1021.85, 'start': 784.46, 'title': 'M1 chip: data science recommendations', 'summary': 'Discusses the compatibility and performance of m1 and m1 max chips for data science, recommending the 8gb macbook air with m1 chip as sufficient for most tasks, and suggesting upgrading to 16gb or considering m1 pro or m1 max for heavier virtual machine usage or pro work.', 'duration': 237.39, 'highlights': ['The 8GB MacBook Air with M1 chip is recommended for data science tasks, providing sufficient performance for analytics, programming languages, and native apps, costing around $1,000. 8GB MacBook Air with M1 chip recommended; Cost: around $1,000; Sufficient for analytics, programming languages, and native apps', 'Recommendation to upgrade to 16GB of unified memory or consider M1 Pro or M1 Max for heavier virtual machine usage or pro work, with M1 Pro and M1 Max designed for content creation and pro work, offering features like SD card slot, HDMI slot, and dual monitor support. Upgrade to 16GB or consider M1 Pro/M1 Max for heavier virtual machine usage or pro work; M1 Pro and M1 Max designed for content creation; Offer features like SD card slot, HDMI slot, and dual monitor support', 'Assessment of storage needs, recommending a minimum of 512 gigabytes of storage, with emphasis on investing in extra memory if possible. Recommendation for minimum 512 gigabytes of storage; Emphasis on investing in extra memory']}], 'duration': 302.837, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/1sQDJSQBUe4/pics/1sQDJSQBUe4719013.jpg', 'highlights': ['Excel for Mac has limitations in using powerful tools like Power Query, Power Pivot or VBA, prompting consideration for switching to Excel for Windows or Google Sheets.', 'SQL is the language used to manage and query databases, with popular database management systems including Postgres, MySQL, Microsoft SQL Server, SQLite, and MongoDB.', 'The 8GB MacBook Air with M1 chip is recommended for data science tasks, providing sufficient performance for analytics, programming languages, and native apps, costing around $1,000.', 'Recommendation to upgrade to 16GB of unified memory or consider M1 Pro or M1 Max for heavier virtual machine usage or pro work, with M1 Pro and M1 Max designed for content creation and pro work, offering features like SD card slot, HDMI slot, and dual monitor support.', 'Assessment of storage needs, recommending a minimum of 512 gigabytes of storage, with emphasis on investing in extra memory if possible.']}], 'highlights': ['The M1 Pro and M1 Max chips outperform M1 and Intel i7 chips by up to 1.7 times.', "The M1 Max outperformed the M1 Pro in machine learning tasks, but fell short compared to Nvidia's Tesla V100.", "The 14-inch M1 Max MacBook Pro's excessive memory and its implications are highlighted for further elaboration.", 'The new 14-inch M1 Max MacBook Pro is highlighted as powerful, raising the question of its value compared to the M1 Mac or Windows PC.', 'The speaker has been using the 13-inch M1 MacBook Pro as a data analyst, and recently upgraded to the 14-inch M1 Max MacBook Pro, emphasizing the significant impact of the upgrade.', "The chapter investigates the performance of the new M1 chips for data science tools, providing a practical angle for evaluating the M1 Max and M1 Pro's suitability for data analysis.", 'The chapter discusses the experience of using M1 and Windows PC for data science, comparing their performance, and addressing the issues faced, focusing on programming languages, data visualization, virtualization tools, and benchmarking tests.', 'Running Power BI on M1 Mac using Parallels virtual machine showed improved performance, with the M1 Max chip showing no noticeable lag.', 'Docker has been rebuilt to work for the M1 chip, showing good performance on both M1 and M1 Max chips.', "For researchers and those in the tech industries working on larger machine learning models, the difference in the speed of these M1 chips isn't really going to matter, as they typically train models on remote machines.", 'Excel for Mac has limitations in using powerful tools like Power Query, Power Pivot or VBA, prompting consideration for switching to Excel for Windows or Google Sheets.', 'SQL is the language used to manage and query databases, with popular database management systems including Postgres, MySQL, Microsoft SQL Server, SQLite, and MongoDB.', 'The 8GB MacBook Air with M1 chip is recommended for data science tasks, providing sufficient performance for analytics, programming languages, and native apps, costing around $1,000.', 'Recommendation to upgrade to 16GB of unified memory or consider M1 Pro or M1 Max for heavier virtual machine usage or pro work, with M1 Pro and M1 Max designed for content creation and pro work, offering features like SD card slot, HDMI slot, and dual monitor support.', 'Assessment of storage needs, recommending a minimum of 512 gigabytes of storage, with emphasis on investing in extra memory if possible.']}