PyCon 2019 | Getting Started Testing in Data Science
From our partners:
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`.
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