d.py

import multiprocessing
import time

 
def doubler(number):
    return number ** 2
 
def count(number):
    nr = 0
    for i in range(number):
        nr += i
    return number

if __name__ == '__main__':
    numbers = range(2, 100000)
    pool = multiprocessing.Pool(processes=6)
    # print()

    rs = pool.map_async(pool.map(count, numbers), range(len(numbers)))
    pool.close() # No more work
    while (True):
      if (rs.ready()): break
      remaining = rs._number_left
      print("Waiting for", remaining, "tasks to complete...")
      time.sleep(0.5)