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Python Data Science Handbook: Full Text in Jupyter Notebooks

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Re: Python Data Science Handbook: Full Text in Jupyter Notebooks

#3

Post by closed »

quotz wrote: post #2

Any reviews on this ?

I have a fair amount of experience with pandas, and find the notebooks very help to refer to! I would say it's worth noting that his book is organized by technology (e.g. numpy, then pandas, then plotting), which makes it feel more like a technical reference, than a walk-through of basic to advanced DS activities.

It's also worth checking out the notebooks for Wes McKinney's data science book. Daniel Chen doesn't have the code from his DS book on GitHub, but does have some useful notebooks he uses for workshops.

https://github.com/wesm/pydata-book

https://github.com/chendaniely/pandas_for_everyone/tree/mast...

Re: Python Data Science Handbook: Full Text in Jupyter Notebooks

#4

Post by throway88989898 »

quotz wrote: post #2

Any reviews on this ?

"These notebooks are just Python code. They even have #-comments instead of markdown. For awesome Python notebooks, see

http://norvig.com/ipython/README.html "

https://news.ycombinator.com/item?id=12470109

Re: Python Data Science Handbook: Full Text in Jupyter Notebooks

#5

Post by f00_ »

quotz wrote: post #2

Any reviews on this ?

Haven't read this yet, but just from Jake Vanderplas' reputation, I think it's probably worth

If you want some more recs, my two favorites are Chris Albon's Machine Learning with Python Cookbook and Joel Grus' Data Science from Scratch: First Principles with Python

Re: Python Data Science Handbook: Full Text in Jupyter Notebooks

#7

Post by Tarq0n »

closed wrote: post #3
quotz wrote: post #2

Any reviews on this ?

I have a fair amount of experience with pandas, and find the notebooks very help to refer to! I would say it's worth noting that his book is organized by technology (e.g. numpy, then pandas, then plotting), which makes it feel more like a technical reference, than a walk-through of basic to advanced DS activities. It's also worth checking out the notebooks for Wes McKinney's data science book. Daniel Chen doesn't hav…

Hands-on Machine Learning with Scikit-Learn and TensorFlow [1] is more ML focused, but highly recommended. Out of the three books (Python for Data Analysis and Python Data Science Handbook) I learned the most from this one by far.

[1] https://github.com/ageron/handson-ml

Re: Python Data Science Handbook: Full Text in Jupyter Notebooks

#10

Post by pooya13 »

gojomo wrote: post #8
pooya13 wrote: post #6

When an open source book has 150 open PRs and the last commit is from 4 months ago I am discouraged to spend time on it.

Or maybe you should spend time on it, by creating a fork with all the good PRs applied?

I would probably do that if the time investment was worth it. For example if it was something I was using on a day to day basis but not for leisurely/exploratory reading.
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