4 ms·
Trying to assess the performance of a python build is extremely difficult as there are a lot of build tricks you can do to improve it. Recently the astral folks
by tempay 2y ago
Trying to assess the performance of a python build is extremely difficult as there are a lot of build tricks you can do to improve it. Recently the astral folks ran into this showing how the conda-forge build is notable faster than most others:
https://github.com/astral-sh/python-build-standalone/pull/540 https://github.com/astral-sh/python-build-standalone/pull/54...
I'd be interested to know how the tail-call interpreter performs with other build optimisations that exist.
- eru 2y agoCompare https://donsbot.com/2009/03/09/evolving-faster-haskell-programs/ https://donsbot.com/2009/03/09/evolving-faster-haskell-progr... The author uses a genetic algorithm to try out lots of different compiler and optimisation flag combinations.