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PyCon 2019 | Getting Started Testing in Data Science

  • June 29, 2019
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PyCon 2019 | Getting Started Testing in Data Science

Speaker: Jes Ford

 

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

Read More  PyCon 2019 | Beyond Two Groups: Generalized Bayesian A/B[/C/D/E...] Testing
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  • Data Science
  • Modelling
  • PyCon
  • Python
  • Testing
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