I wanted to start a broader setup showcase thread around Python.
A useful angle is evaluation, but it also connects with real-world use. 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.
You could also split python and useful into two smaller checks instead of treating it as one big problem. That often makes the weak point more obvious. That usually gives a much cleaner signal than changing several things together.