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all programs are single threaded unless otherwise specified.
Does Python have the ability to specify loops that should be executed in parallel, as e.g. Matlab uses
parforinstead offor?python has way too many ways to do that.
asyncio,future,thread,multiprocessing…Of the ways you listed the only one that will actually take advantage of a multi core CPU is
multiprocessingyup, that’s true. most meaningful tasks are io-bound so “parallel” basically qualifies as “whatever allows multiple threads of execution to keep going”. if you’re doing numbercrunching in pythen without a proper library like pandas, that can parallelize your calculations, you’re doing it wrong.
I’ve used multiprocessing to squeeze more performance out of numpy and scipy. But yeah, resorting to multiprocessing is a sign that you should be dropping into something like Rust or a C variant.
Most numpy array functions already utilize multiple cores, because they’re optimized and written in C
!lemmySilver
It only took us how many years?
Oh wow, a programming language that is not supposed to be used for every single software in the world. Unlike Javascript for example which should absolutely be used for making everything (horrible). Nodejs was a mistake.
Nodejs was a mistake.
More choice is always better
And some of those choices are mistakes.
let’s be honest here, he actually means 0.01 core performance
Yes, 0.99 performance being consumed by the interpreter.
