I wanted to start a broader ideas worth trying thread around Python.
A useful angle is best workflow, but it also connects with testing. Different tools and workflows can produce very different results even when the goal is similar.
It would be interesting to compare practical examples, experiments, setups, or lessons that show where Python is genuinely useful and where it still needs improvement.
One thing worth trying with Python: ideas worth trying ideas and experiences is a controlled comparison around python and ideas. Use the same input for each test and note what changes in the output rather than judging from a single run. It also gives you a cleaner baseline if you want to compare tools or settings later.
The point about python and ideas is interesting. In practice I would keep the first test simple, record what worked, and only add extra complexity if it solves a specific limitation. It is usually easier to troubleshoot when each change is tested on its own.