IO操作首选多线程

计算操作用别的首先实现并发较好：multiprocessing模块

充分运用多核，多CPU的计算能力，适用于计算密集型任务

import time

import multiprocessing

def func(n):

    print(f'{multiprocessing.current_process().name}执行开始于：{time.ctime()}')

    time.sleep(n)

    print(f'{multiprocessing.current_process().name}执行开始于：{time.ctime()}')

def main ():

    print(f'主函数运行于：{time.ctime()}')

        processes = []

    p1 = multiprocessing.Process(target = func, args = (4,))

    processes.append(p1)

    p2 = multiprocessing.Process(target = func, args = (2,))

    processes.append(p2)

    for p in processes:

        p.start()

    for p in procsses:

        p.join()

    print(f'主函数结束于：{time.ctime()}')

if __name__ =='__main__':

    main()