Some tactics I've picked up: - I work mostly from a clean, normal Python codebase in my normal IDE - I'll have a file like "common.py" or something - I keep

Some tactics I've picked up: - I work mostly from a clean, normal Python codebase in my normal IDE - I'll have a file like "common.py" or something - I keep a Jupyter notebook running always, and I'll do a (from importlib import reload) reload(common) to update any code in my live environment I also: - Cache a lot to disk (np.save/np.load). - For every long-running method, have a tiny subset to unit test it