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Python Data Science Handbook: full text in Jupyter Notebooks
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This repository contains the entirePython Data Science Handbook, in the form of (free!) Jupyter notebooks.
Read the book in its entirety online athttps://jakevdp.github.io/PythonDataScienceHandbook/
Run the code using the Jupyter notebooks available in this repository'snotebooks directory.
Launch executable versions of these notebooks usingGoogle Colab:
Launch a live notebook server with these notebooks usingbinder:
Buy the printed book throughO'Reilly Media
The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.
The book introduces the core libraries essential for working with data in Python: particularlyIPython,NumPy,Pandas,Matplotlib,Scikit-Learn, and related packages.Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project,A Whirlwind Tour of Python: it's a fast-paced introduction to the Python language aimed at researchers and scientists.
SeeIndex.ipynb for an index of the notebooks available to accompany the text.
The code in the book was tested with Python 3.5, though most (but not all) will also work correctly with Python 2.7 and other older Python versions.
The packages I used to run the code in the book are listed inrequirements.txt (Note that some of these exact version numbers may not be available on your platform: you may have to tweak them for your own use).To install the requirements usingconda, run the following at the command-line:
$ conda install --file requirements.txtTo create a stand-alone environment namedPDSH with Python 3.5 and all the required package versions, run the following:
$ conda create -n PDSH python=3.5 --file requirements.txtYou can read more about using conda environments in theManaging Environments section of the conda documentation.
The code in this repository, including all code samples in the notebooks listed above, is released under theMIT license. Read more at theOpen Source Initiative.
The text content of the book is released under theCC-BY-NC-ND license. Read more atCreative Commons.
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Python Data Science Handbook: full text in Jupyter Notebooks
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