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We're using this book for a "book club" at work. Doing 1 chapter every 2 weeks. Chapter 1 covers Jupyter, 2 covers numpy, 3 pandas, 4 matplotlib, and 5 machine
by pixelmonkey 9y ago
We're using this book for a "book club" at work. Doing 1 chapter every 2 weeks. Chapter 1 covers Jupyter, 2 covers numpy, 3 pandas, 4 matplotlib, and 5 machine learning. We just made it through the first 4 chapters and it lays a good foundation for those libraries. I suspect chapter 5 is the meatiest and most interesting chapter, which covers scikit-learn and machine learning techniques. It is a long chapter so we will spend a month on it.
I recommend combining this book with McKinney's Pandas book[1] and the author's excellent YouTube presentations at PyCon and PyData. Start with "Statistics for Hackers"[2] by Jake VanderPlas and then look for his others.
[1]: http://shop.oreilly.com/product/0636920050896.do http://shop.oreilly.com/product/0636920050896.do
[2]: https://www.youtube.com/watch?v=Iq9DzN6mvYA https://www.youtube.com/watch?v=Iq9DzN6mvYA
- neduma 9y agoVery good idea. Thinking of doing the same.
- morenoh149 9y agoCan others attend your bookclub? I've been attending https://www.meetup.com/Math-and-Algorithm-Reading-Group/ https://www.meetup.com/Math-and-Algorithm-Reading-Group/ over at buzzfeed HQ. This is right up the same alley.
- nafizh 9y agoThe notebooks say they are an excerpt from the book but some other place mentions you can read the book in its entirety in the posted link. So, the notebooks have all the content or part of the book?
- pixelmonkey 9y agoTo my knowledge, the notebooks include all, or almost entirely all, of the content in the print book. Jake mentions a few times in talks that the Notebooks are "compiled" into the O'Reilly book format. The nice thing about having the book as notebooks is you can literally "run the book as code" just by pointing Jupyter at that cloned repo.