lesson03_no_return.py

# SuperFastPython.com
# example of executing tasks concurrently with no return
from random import random
from time import sleep
from concurrent.futures import ThreadPoolExecutor

# custom function to be executed in a worker thread
def task(number):
 # generate a random value between 0 and 1
 value = random()
 # report a message
 print(f'Task generated {value}')
 # block for a moment to simulate work
 sleep(value)

# protect the entry point
if __name__ == '__main__':
 # create the thread pool
 with ThreadPoolExecutor(4) as exe:
 # issue tasks to execute concurrently
 _ = exe.map(task, range(10))
 # wait automatically for all tasks to finish...