Python — what is changing around ideas worth trying?

[oscar_10v9]

I wanted to start a broader ideas worth trying thread around Python.

A useful angle is data quality, but it also connects with performance. 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.



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[islaexplores47]

The main thing for me would be python and useful. If that part is consistent, the rest becomes much easier to judge. You can always make it more sophisticated once the basic version is stable.