Suppose you are starting a new data science project (which could either be a short analysis of one dataset, or a complex multi-year collaboration). How should your organize your workflow? Where do you put your data and code? What tools do you use and why? In general, what should you think about before diving head first into your data?
EVENT: PyData Boston
SPEAKER: Eric Ma
PUBLICATION PERMISSIONS: PyData provided Coding Tech with the permission to republish PyData tech talks.
CREDITS: Original video source: https://www.youtube.com/watch?v=Dx2vG6qmtPs
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