线程池，进程池

 

 

from concurrent.futures import ThreadPoolExecutor,ProcessPoolExecutor

import time

def task(i):
    print(i)
    time.sleep(1)

# 配置一个线程池,并设置线程数为10
pool = ThreadPoolExecutor(max_workers=10)
# 配置一个进程池
# pool = ProcessPoolExecutor(max_workers=10)

for i in range(88):
    pool.submit(task,i)     # 这里的调用方式类似map