9-[Multithreading] Process Pool Thread Pool

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#Process pool, thread pool 
from concurrent.futures import ProcessPoolExecutor, ThreadPoolExecutor
 import os
 import time

def task(name):
    print('%s is running 《pid: %s》' % (name, os.getpid()))
    time.sleep(2)

if  __name__ == ' __main__ ' :
     # p = Process(target=task, args=('child',)) 
    # p.start 

    pool = ProcessPoolExecutor(4)   #Process pool max_workers: 4 
    for i in range(10) :      #A total of 10 executions, each time 4 processes are executed 
        pool.submit(task, ' child process%s ' % i)

    print ( ' main ' )

 

 

 

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