To make my code more \"pythonic\" and faster, I use \"multiprocessing\" and a map function to send it a) the function and b) the range of iterations.
The implanted s
Use imap instead of map, which returns an iterator of processed values.
from multiprocessing import Pool
import tqdm
import time
def _foo(my_number):
square = my_number * my_number
time.sleep(1)
return square
if __name__ == '__main__':
with Pool(2) as p:
r = list(tqdm.tqdm(p.imap(_foo, range(30)), total=30))