Notebooks are primarily a discovery tool when you're exploring your data, deciding what ETL transformations and feature engineering to create and testing algori

Notebooks are primarily a discovery tool when you're exploring your data, deciding what ETL transformations and feature engineering to create and testing algorithms. When you want to run stuff in production, you move to a regular code dev environment (or handoff to developers). Now some things in business are infrequent enough that you can live with Jupyter for the once a quarter or so when you need to rerun updates but that's not the same as production code that runs daily/weekly.