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Python Data Science Handbook

Jupyter notebook content for my OReilly book, the Python Data Science Handbook

cover image

This repository will contain the full listing of IPython notebooks used to create the book, including all text and code. The code was tested with Python 3.5, though most (but not all) snippets will work correctly in Python 2.7.

See also the free companion project, A Whirlwind Tour of Python: a fast-paced introduction to the Python language aimed at researchers and scientists.

I am currently doing the final edits of these notebooks, and will post them as I make my way through. See the content here:


4. Visualization with Matplotlib (coming soon)

5. Machine Learning (coming soon)

Code Listings

The notebooks above are still being edited. In the meantime, you can see all the code from an earlier draft of the book in code_listings. The code is in IPython notebooks, organized by book chapter and section. All code from this book was tested with Python 3.4-3.5, though most of it is compatible with Python 2.7 as well.

License

The code here is released under the MIT license. Read more at the Open Source Initiative.

The text content of the book is released under the CC-BY-NC-ND license. Read more at Creative Commons.

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Python Data Science Handbook: full text in Jupyter Notebooks

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