Why (and how) to Put Notebooks in Production

Putting notebooks and production in the same sentence is a sure way to trigger a heated online debate. This topic comes up frequently, and it’s common to hear that teams completely dismiss notebooks because they’re not for production. Unfortunately, the discussion often centers on problems already fixed by current tools, but the solutions are still unknown for many practitioners. This post shows how to overcome some of Jupyter notebook’s limitations, proposes a workflow to streamline their use in production, and discusses problems that remain to be solved. PUBLICATION PERMISSIONS: PyData provided Coding Tech with the permission to republish PyData talks CREDITS: PyData YouTube channel: