[ageofwant]

This is the big difference between 'data scientist' and 'software engineer'. Your workflow is almost certainly repeatable and verifiable, which is just better science.

The crux is is that Jupyter was not made for people with your skills, or more accurately, pattern. What you do is not inherently hard or complicated. Certainly not more than actual data science. It's a cultural thing mostly.

[vincent-toups]

I'm prepared to argue that a data scientist who doesn't apply this level of rigor to their work is almost certainly doing a bad job, though they may deliver results that are good from moment to moment.

The key differences is how traceable and repeatable the process is.