Maintainable Code in Data Science

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. EVENT: PyData London 2019 SPEAKER: Kevin Lemagnen PUBLICATION PERMISSIONS: PyData provided Coding Tech with the permission to republish PyData videos. https://www.youtube.com/watch?v=KQ0LY_0Pqck