dolrogue2d 7h ago(edited)
I wouldn't call concurrent futures more 'advanced' - it's a simpler interface that works very much the same regardless of whether you use multiple threads or multiple processes as the underlying parallelization gimmick
Personally, I think that to import multiprocessing as mp def mp_factorizer_map(nums, nprocs): with mp
Pool(nprocs) as pool: return {num: factors for num, factors in zip(nums, pool
map(factorize_naive, nums))}
dolrogue2d 7h ago(edited)
I wouldn't call concurrent futures more 'advanced' - it's a simpler interface that works very much the same regardless of whether you use multiple threads or multiple processes as the underlying parallelization gimmick
Personally, I think that to import multiprocessing as mp def mp_factorizer_map(nums, nprocs): with mp
Pool(nprocs) as pool: return {num: factors for num, factors in zip(nums, pool
map(factorize_naive, nums))}
abyss