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Test and Code 170 - pytest for Data Science and Machine Learning - Prayson Daniel

Brian Okken
17 Nov, 2021 - 1 min read
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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



Older post

Test and Code 169 - Service and Microservice Performance Monitoring - Omri Sass

Newer post

Test and Code 171 - How and why I use pytest's xfail - Paul Ganssle

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