I do the opposite, my job is kind of bad data engineer/scientist/etl minion so it's a lot of dataframes.

Work (and often debug) in jupyter -> open the notebook from pycharm when it's got some completed thoughts and write into a python module + test module, tidying up and adding type annotations.

Sometimes doing that multiple times so that the notebook is importing from modules which were originally pulled out of the notebook.

It sucks having to use two tools but I don't think there's any one tool that can do both as well as pycharm/jupyter, short of me getting a lot better at emacs or writing a lot of custom Atom extensions (I think).