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1 | 1 | # Python Data Science Handbook |
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| 3 | +[](https://beta.mybinder.org/v2/gh/jakevdp/PythonDataScienceHandbook/master?filepath=notebooks%2FIndex.ipynb) |
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3 | 5 | This repository contains the entire [Python Data Science Handbook](http://shop.oreilly.com/product/0636920034919.do), in the form of (free!) Jupyter notebooks. |
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5 | 9 | You can read the book in its entirety online at https://jakevdp.github.io/PythonDataScienceHandbook/ |
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| 11 | +Jupyter notebooks containing all of the book's content are available in this repository's [notebooks](notebooks) directory. |
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| 13 | +To launch a live notebook server with these notebook using [binder](https://beta.mybinder.org/), |
| 14 | +click on the [Launch Binder](https://beta.mybinder.org/v2/gh/jakevdp/PythonDataScienceHandbook/master?filepath=notebooks%2FIndex.ipynb) badge above. |
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| 16 | +--- |
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9 | | -The book was written and tested with Python 3.5, though older Python versions (including Python 2.7) should work in nearly all cases. |
| 18 | +The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases. |
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11 | 20 | The book introduces the core libraries essential for working with data in Python: particularly [IPython](http://ipython.org), [NumPy](http://numpy.org), [Pandas](http://pandas.pydata.org), [Matplotlib](http://matplotlib.org), [Scikit-Learn](http://scikit-learn.org), and related packages. |
12 | 21 | Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, |
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