Jupyter notebooks can be executed roughly like scripts by papermill. You can also save a .py version of the notebook without outputs using jupytext. We use these packages together where I work to basically auto-generate the start of notebooks for exploratory work after certain batch jobs. For dashboards only used by a small number of users, we’ve found voila occasionally useful. Voila turns notebooks into dashboards or web apps basically.
You generally shouldn’t put code you want to reuse in notebooks, but we haven’t found this to be much of a problem. And >3/4 of the people who’ve worked on our team don’t have software engineering backgrounds. If you set clear expectations, you can avoid the really bad tar pits even if most of your co-workers are (non-software) engineers or scientists 0-3 years out of college.
You generally shouldn’t put code you want to reuse in notebooks, but we haven’t found this to be much of a problem. And >3/4 of the people who’ve worked on our team don’t have software engineering backgrounds. If you set clear expectations, you can avoid the really bad tar pits even if most of your co-workers are (non-software) engineers or scientists 0-3 years out of college.