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pandas-cookbook

Recipes for using Python's pandas library.

This is an alpha cookbook! Chapters will be added here as I, you know, write them. Let me know if you have suggestions, or if there are bugs.

It comes with batteries (data) included, so you can try out all the examples right away.

Table of Contents

Chapter 1: Reading from a CSV

Installation

You'll need an up-to-date version of IPython Notebook (>= 1.0) and pandas (>=0.12) for this to work properly

You can get these using pip:

pip install ipython pandas numpy

Alternatively, I use and recommend Anaconda, which will give you everything you need. It's free and open source.

Once you have pandas and IPython, you can get going!

git clone https://github.com/jvns/pandas-cookbook.git
cd pandas-cookbook/cookbook
ipython notebook --pylab inline

A tab should open up in your browser at http://localhost:8888

Happy pandas!

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