Multiprocessing : use tqdm to display a progress bar

Question

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

Answer 1

Sorry for being late but if all you need is a concurrent map, I added this functionality in tqdm>=4.42.0:

from tqdm.contrib.concurrent import process_map  # or thread_map
import time

def _foo(my_number):
   square = my_number * my_number
   time.sleep(1)
   return square 

if __name__ == '__main__':
   r = process_map(_foo, range(0, 30), max_workers=2)

References: https://tqdm.github.io/docs/contrib.concurrent/ and https://github.com/tqdm/tqdm/blob/master/examples/parallel_bars.py

It supports max_workers and chunksize and you can also easily switch from process_map to thread_map.