Comments by "Cees Timmerman" (@CTimmerman) on "Why Python 3.11 is so fast | Guido van Rossum and Lex Fridman" video.

  1. So with 100% code coverage, all types should be known and could be automatically added to the code to speed up first runs on other machines. from typing import Final can be used to create const vars for futher speedups. Or switch to Rust and only mark some things as mutable. V and Nim have simpler syntax, though, but even contracts like Ada/Spark and its mathematical correctness can be generated.
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  2.  @venkataramanapodugu6211  CPUs expect exact bits. Some high level languages hide that so you can do big number math without bothering with that, but that comes at the cost of speed. Unreal Engine 5 looks great but doesn't use Python for performance.
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  3.  @aedieal  MyPy does static type checks with provided type hints, and Cython uses type hints to optimize transpiling to C.
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  4.  @What-he5pr  input() for utf8 and ctypes for C types.
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