These speedups are awesome, but of course one wonders why they haven't been a low-hanging fruit over the past 25 years.

Having read about some of the changes [1], it seems like the python core committers preferred clean over fast implementations and have deviated from this mantra with 3.11.

Now let's get a sane concurrency story (no multiprocessing / queue / pickle hacks) and suddenly it's a completely different language!

[1] Here are the python docs on what precisely gave the speedups: https://docs.python.org/3.11/whatsnew/3.11.html#faster-cpyth...

[edit] A bit of explanation what I meant by low-hanging fruit: One of the changes is "Subscripting container types such as list, tuple and dict directly index the underlying data structures." Surely that seems like a straight-forward idea in retrospect. In fact, many python (/c) libraries try to do zero-copy work with data structures already, such as numpy.

This is in very active development[1]! And seems like the Core Team is not totally against the idea[2].

[1] https://github.com/colesbury/nogil

[2] https://pyfound.blogspot.com/2022/05/the-2022-python-languag...