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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A collection of data science and machine learning resources that I've found helpful (I only post what I've read!)
| Date | Stars |
|---|---|
| 2026-08-05 | 536 |
| 2026-08-06 | 536 |
| 2026-08-13 | 536 |
| 2026-08-14 | 536 |
| 2026-08-18 | 536 |
| 2026-10-09 | 537 |
| 2026-10-14 | 538 |
| 2026-10-19 | 538 |
| 2026-11-03 | 538 |
| 2026-11-04 | 538 |
Today
— stars today
This week
— stars this week
This month
+2 stars this month
Momentum
0.0
growth rate 0.00%/day
# Data Science Learning Resources - [Programming](https://github.com/bradleyboehmke/data-science-learning-resources/blob/master/README.md#programming) - [Machine Learning](https://github.com/bradleyboehmke/data-science-learning-resources/blob/master/README.md#machine-learning) - [Leadership & Strategy](https://github.com/bradleyboehmke/data-science-learning-resources/blob/master/README.md#leadership--strategy) <br> ## Programming ### General - [The Pragmatic Programmer](https://www.amazon.com/Pragmatic-Programmer-Journeyman-Master/dp/020161622X/ref=sr_1_1?ie=UTF8&qid=1544653964&sr=8-1&keywords=the+pragmatic+programmer) (Book) - [Clean Code](https://www.amazon.com/Clean-Code-Handbook-Software-Craftsmanship/dp/0132350882) (Book) - [Architecture Playbook](https://nocomplexity.com/documents/arplaybook/index.html) (Online guide) ### Python - [A Whirlwind Tour of Python](https://jakevdp.github.io/WhirlwindTourOfPython/index.html) (Book) - [Python Data Science Handbook](https://jakevdp.github.io/PythonDataScienceHandbook/) - [Python Tricks](https://www.amazon.com/Python-Tricks-Buffet-Awesome-Features/dp/1775093301) (Book) - [Learning Python](https://www.amazon.com/Learning-Python-5th-Mark-Lutz/dp/1449355730) (Book) - [Effective Python](https://effectivepython.com/) (Book) ### R - [R for Data Science](https://r4ds.had.co.nz/) (Book) - [Advanced R](https://adv-r.hadley.nz/) (Book) - [R Markdown: The Definitive Guide](https://bookdown.org/yihui/rmarkdown/) (Book) - [bookdown: Authoring Books and Technical Documents with R Markdown](https://bookdown.org/yihui/bookdown/) (Book) - [Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving](https://www.amazon.com/Data-Science-Approach-Computational-Reasoning/dp/1482234815/ref=sr_1_4?keywords=data+science+in+r&qid=1578174035&s=books&sr=1-4) (Book) - [Automated Data Collection with R](https://www.amazon.com/Automated-Data-Collection-Practical-Scraping-ebook/dp/B014T25K5O/ref=sr_1_2?keywords=Automated+Data+Collection+with+R&qid=1578174122&s=books&sr=1-2) (Book) - [Introduction to Data Science](https://rafalab.github.io/dsbook/) (Book) ### Spark - [Spark: The Definitive Guide: Big Data Processing Made Simple](https://www.amazon.com/Spark-Definitive-Guide-Processing-Simple/dp/1491912219/ref=sr_1_1?keywords=spark+oreilly&qid=1578175560&s=books&sr=1-1) (Book) - [Learning Spark: Lightning-Fast Big Data Analysis](https://www.amazon.com/Learning-Spark-Lightning-Fast-Data-Analysis/dp/1449358624/ref=sr_1_2?keywords=spark+oreilly&qid=1578175595&s=books&sr=1-2) (Book) - [Mastering Spark with R: The Complete Guide to Large-Scale Analysis and Modeling](https://www.amazon.com/Mastering-Spark-Complete-Large-Scale-Analysis/dp/149204637X/ref=sr_1_1?crid=3TYKU59XRH5HV&keywords=mastering+spark+with+r&qid=1578175640&s=books&sprefix=mastering+spark+%2Cstripbooks%2C152&sr=1-1) (Book) ### Command Line - [The Missing Semester of Your CS Education](https://missing.csail.mit.edu/) (Online course) - [Learning the bash Shell](https://www.amazon.com/Learning-bash-Shell-Programming-Nutshell/dp/0596009658/ref=sr_1_1?crid=3F1N8U9IGYOWA&keywords=learning+the+bash+shell%2C+3rd+edition&qid=1581944136&sprefix=learning+the+basdh%2Caps%2C345&sr=8-1) (Book) - [The Art of the Command Line](https://github.com/jlevy/the-art-of-command-line) (GitHub resources) - [explainshell.com](https://explainshell.com/) (Online help) ### Containers - [Docker tips & tricks or just useful commands](https://medium.com/@clasikas/docker-tips-tricks-or-just-useful-commands-6e1fd8220450) (Online article) - [Rocker: R configurations for Docker](https://github.com/rocker-org/rocker) (GitHub resources) - [Docker and Python: making them play nicely and securely for Data Science and ML](https://us.pycon.org/2020/schedule/presentation/175/) (PyCon Talk) ### Functional Programming - [An Introduction to the Basic Principles of Functional Programming](https://medium.freecodecamp.org/an-introduction-to-the-basic-prin
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matched fp:86172f9644e69c74, llm:Repository description and README: 'A collection of data science and machine learning resources...'; README contains curated lists of Programming, Machine Learning, Python, R resources (books, guides).
matched fp:86172f9644e69c74, llm:Repository description and README: 'A collection of data science and machine learning resources...'; README contains curated lists of Programming, Machine Learning, Python, R resources (books, guides).