I feel bit ambivalent about Python as it's a nice language for prototyping and quickly hacking things done. Yet I'm always baffled when I read Numpy's or Matplotlib's documentation and try to make sense of it as it can be (or at least feel) so complex and highly ambiguous. Eg. sometimes there is no/very brief examples at Numpy's documentation pages how the method works and most results from Google are only about advanced implementations, not about the basics of the method itself. In Matplotlib I still don't understand what is the right way of initializing a pyplot, there seems to be a million ways to do it and a million parameters you can give. API changes and inconsistencies too pain me at times (Pandas comes to my mind). While not a fault of Python as a language I think they greatly contribute to the experience of using Python.

Also I don't feel like the culture of Python programming focuses too much on documenting things which makes reading code at times like transcribing ancient Latin manuscripts. Maybe a good analogy would be JS back in the days with global jQuery scripts. Too unrestricted and free-form maybe. I'd wish Python became more like Kotlin with very clear patterns and great IDE support (in addition to PyCharm).

Well those are at least my experiences and feel free to disagree with me.