170: pytest for Data Science and Machine Learning - Prayson Daniel
Prayson Daniel, a principle data scientist, discusses testing machine learning pipelines with pytest.
Prayson is using pytest for some pretty cool stuff, including:
- unit tests, of course
- testing pipeline stages
- counterfactual testing
- performance testing
All with pytest. So cool.
Special Guest: Prayson Daniel.
Links:
- Python Bytes 250, with Prayson Daniel — Listen to this for more of an introduction to Prayson
Help support the show AND learn pytest:
- The Complete pytest course is now a bundle, with each part available separately.
- pytest Primary Power teaches the super powers of pytest that you need to learn to use pytest effectively.
- Using pytest with Projects has lots of "when you need it" sections like debugging failed tests, mocking, testing strategy, and CI
- Then pytest Booster Rockets can help with advanced parametrization and building plugins.
- Whether you need to get started with pytest today, or want to power up your pytest skills, PythonTest has a course for you.
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