TL;DR Did not get any insights here except links to books. What I prefer to do is to use Jupyter for all R&D tasks then `productize` modules/parts that proved

TL;DR Did not get any insights here except links to books. What I prefer to do is to use Jupyter for all R&D tasks then `productize` modules/parts that proved to be working. When wrapping solutions as a product we go through typical engineering process: TDD, CI/CD, Docker, code review etc. In any case, we end up with having a bunch of machine instructions and there is no point in breaking best practices of engineering craft, they have been established for years. No need to invent another wheel.