Comment by jdiez17

There are a lot of people who are not expert Python programmers, but know enough to pull data from various sources and make plots. Jupyter{Notebook,Lab} is great for that.

As you say, from a programmer's point of view the logical thing to do is to convert the notebook to a Python module. But that's an extra step that may not be necessary in some cases.

FWIW I used papermill in my Master's thesis to analyze a whole bunch of calibration data from IMUs. This gave me a nicely readable document with the test report, conclusions etc. for each device pretty easily.