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Why, when did we "ate" gains the team explicitly seeked to achieve in prior releases?

What exactly big gain-eating abstraction you have in mind that was added to Python at which point?



Parent is not talking about bloat in Python but in what goes above and below it in the stack.


Well, it might be accurate for the industry in general (e.g. going to higher level languages), but I don't think it's particularly the case with Python.

It's not like Python devs build abstraction towers beyond what the language already has an encourages (unlike, say, Java which has a well deserved reputation for this kind of towering abstractions, or say, web development).

If anything, a lot of Python effort is on Data Science and scientific python, where wrapped C/C++/fortran libs for maximum speed/minimum memory is the order of the day.




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