I generally use the `jupyter nbconvert` command when I have to do something like this. This can convert a Jupyter notebook into a Python script but unless the

I generally use the `jupyter nbconvert` command when I have to do something like this. This can convert a Jupyter notebook into a Python script but unless the notebook has been written with some care (with the intention of converting it into a script later), a lot of manual twiddling will be required. What I generally do is use Jupyter notebooks when I'm exploring a problem or dataset. When I'm done with the exploration phase, I immediately mark the notebook as deprecated (trying to keep it in sync with code is a nightmare) and link the the relevant source code elsewhere in the project that it was deprecated for. Databricks does a decent job productionizing their notebooks, and have seen people be quite productive on that platform.