Sure thing...
from multiprocessing import Pool
with Pool(8) as p:
p.map(function, sequence)) from multiprocessing import Pool
with Pool(8) as p:
p.map(function, sequence))I see that you explicitly specify 8 as the number of processes here. In Java, parallelStream() will pick a sane default for you if you haven't previously specified (based on the number of available processors, I believe). Is something like that possible in Python?
from concurrent.futures import ThreadPoolExecutor
with ThreadPoolExecutor as executor:
executor.map(function, sequence)