Kevin Lemagnen: Maintainable code in data science | PyData London 2019

Github Exercises and Slides - https://github.com/klemag/pydataLDN_2...

Notebooks are great, they allow to explore your data and prototype models quickly. But they make it hard to follow good software practices. In this tutorial, we will go through a case study.We will see how to refactor our code as a testable and maintainable Python package with entry-points to tune, train and test our model so it can easily be integrated to a CI/CD flow.

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