Comment by aragilar

I think it depends on which bits of the Python ecosystem you're interacting with. The numerical/scientific parts have been quite stable for at least the past 10 years (new features have been added, but only small amounts of removal), compared with the more "AI" focused parts where I wouldn't trust the code to be working in 6 months. Similarly, some web frameworks are more stable than others. I think also over the last 5 or so years, there's been a change in maintainers of some larger projects, and the new maintainers have introduced more breaking changes than their predecessors.

None of this is implied by the language, I think it's much more driven by culture (though I think the final dropping of support for Python 2 did give some maintainers an excuse to do more breaking changes than was maybe required).