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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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+
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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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+
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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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