lesson01_pool.py

# SuperFastPython.com
# example running a function in the multiprocessing pool
from multiprocessing import Pool

# custom function to be executed in a child process
def task():
 # report a message
 print('This is another process', flush=True)

# protect the entry point
if __name__ == '__main__':
 # create the multiprocessing pool
 with Pool() as pool:
 # issue the task
 async_result = pool.apply_async(task)
 # wait for the task to finish
 async_result.wait()
 # close the multiprocessing pool automatically