[taeric]

You can. Most don't. And moving something from a free form environment to a tested continuous delivery one, is not automatic.

Luckily, the performance constraints of most environments are such that python is not an automatic deal breaker nowadays. That said, correctness of code proofs are usually different from correctness of machine learning algorithms. Such that mixing them seems to just fool both sets of practitioners.

[jononor]

My point is mostly that it that Jupyter far from as bad as spreadsheets (at least commonly used implementations).

Correctness of machine learning is a complicated problem generally.

[taeric]

Meh. With some of the practices I've already seen, at least spreadsheets always show the data. You send me a spreadsheet, I can verify most of it. Send me a notebook, I can typically only audit what you did.