Getting Started Testing in Data Science
Jes Ford at PyCon 2019
*How do you know if your data science results are correct?* Robust software usually has tests asserting that certain conditions hold, but as a data scientist it’s often not straightforward or obvious how to integrate these best practices. Our workflow includes exploration, statistical models, and one-off analysis. This talk will give concrete examples of when and how testing should play a role, and provide you with enough introduction to get started writing your first data science tests using `pytest` & `hypothesis`.
Slides can be found at: https://speakerdeck.com/pycon2019 and https://github.com/PyCon/2019-slides
Slides can be found at: https://speakerdeck.com/pycon2019 and https://github.com/PyCon/2019-slides