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Do more explaining in the README
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README.md

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pandas-cookbook
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Pandas cookbook
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===============
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Hello!
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[pandas](http://pandas.pydata.org/) is a Python library for doing
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data analysis. It's really fast and lets you do exploratory work
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incredibly quickly.
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The goal of this cookbook is to give you handholds for using
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[pandas](http://pandas.pydata.org/), Wes McKinney's fantastic library
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for data analysis in Python. It explains how to use pandas with
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practical examples and real-world data.
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The goal of this cookbook is to give you some concrete examples for
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getting started with pandas. The [docs](http://pandas.pydata.org/pandas-docs/stable/)
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are really comprehensive. However, I've often had people
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tell me that they have some trouble getting started, so these are
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examples with real-world data, and all the bugs and weirdness
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that that entails.
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This is an alpha cookbook! Chapters will be added here as I, you know,
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write them. Let me know if you have suggestions, or if there are bugs.
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I'm working with 3 datasets right now
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* 311 calls in New York
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* How many people were on Montréal's bike paths in 2012
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* Montreal's weather for 2012, hourly
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Let me know if you have suggestions, or about bugs you find.
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It comes with batteries (data) included, so you can try out all the
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examples right away.

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