Testing Data Science Code || Eric Ma

Channel:
United States Coding Tech
Subscribers:
725,000
Published on ● Video Link: https://www.youtube.com/watch?v=fmVbtHMHEZc


Duration: 56:22
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Code written in a programming language is the most flexible way to accomplish your data science work. However, every line of code we write is technical debt. In this talk, we will go through the different kinds of tests that you might want to write when doing data science, and how you can incorporate testing into your workflow to write robust code that builds your confidence.

EVENT:
PyData Ann Arbor 2019

SPEAKER:
Eric Ma

PUBLICATION PERMISSIONS:
PyData provided Coding Tech with the permission to republish PyData talks

CREDITS:
PyData YouTube channel: https://www.youtube.com/channel/UCOjD18EJYcsBog4IozkF_7w



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Tags:
quality assurance
testing
data science