We (Netflix) do a ton of prototyping/exploration in notebooks like everyone else. We run many ETL pipelines in production as templated notebooks. When something

We (Netflix) do a ton of prototyping/exploration in notebooks like everyone else. We run many ETL pipelines in production as templated notebooks. When something fails, you can just open a notebook to see the input and the output, which is handy. We don't deploy or execute ML models in production as notebooks. We have many other solutions for that use case. In particular, check out https://metaflow.org https://metaflow.org