PyData Ann Arbor: Eric Ma | Testing Data Science Code

PyData Ann Arbor Meetup - January 15, 2020 Sponsored by NumFOCUS, TD Ameritrade, and MIDAS 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.