[zelphirkalt]

I think an example might be in order, because the case you mentioned sound like a quite unlikely case. Python 3.6 had some of the most frequently code affecting changes of how one writes code in Python, while 3.8 did not have that much of frequently code affecting changes in my experience. Although I have not used async much yet. I am using Python almost every day at the job and have no issue with 3.8 at all and also did not have to port anything, although writing for 3.6 before. I think they are doing a great job of avoiding incompatibilities.

For the case of numpy, some pretty obscure functions must have been used then. Usually there will be deprecation warnings ahead of time and a bit ofsearching will clear up, what you should use instead, going with later versions. Also they don't simply remove the dot product or something.

So that's why I think an example would help your post and make people understand that specific case.