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Python for Social Scientists: Cleaning and Prepping Data

Description

Speaker: Renee Chu

If you're learning to code, working with data is a great way to implement your new skills. However, before you can do analysis or visualization, you must have a cleaned, prepped data set. This tutorial uses Python basics to unify data sets from disparate sources. It also shows you to write your programs as modules so you can re-use them for future projects.

Slides can be found at: https://speakerdeck.com/pycon2016 and https://github.com/PyCon/2016-slides

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