Recipes for using Python’s pandas library

pandas is a Python library for doing data analysis. It’s really fast and lets you do exploratory work incredibly quickly.

The goal of this cookbook is to give you some concrete examples for getting started with pandas. The docs are really comprehensive. However, I’ve often had people tell me that they have some trouble getting started, so these are examples with real-world data, and all the bugs and weirdness that entails.

I’m working with 3 datasets right now

  • 311 calls in New York
  • How many people were on Montréal’s bike paths in 2012
  • Montreal’s weather for 2012, hourly

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

https://github.com/jvns/pandas-cookbook

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