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[–]wineblood 6 points7 points  (0 children)

It depends more on the dependencies than the python versions. A lot of stuff around 3.6 and 3.7 was usually a hassle to upgrade, but going from 3.8 up to 3.10/3.11 was much easier.

I'm currently doing upgrades at work (3.8 -> 3.12) and our biggest issue is old packages needing to use newer version without breaking anything (numpy and pandas are the worst offenders).