用进程池的多进程和单进程分别运行查看结果

时间single 0.09075808525085449 multi 4.713615894317627。因此计算量不是特别大不建议使用多进程。

import threading

import time

ind=100

def single():

    for j in range(ind):

        for i in range(5000):

            w=2*i

            #print(w)

    return '123'

def s(w):

    for i in range(5000):

        w=2*i

        #print(w)

    return '123'

def multi():

    threa=[]

    for j in range(ind):

        t=threading.Thread(target=s)

        threa.append(t)

    for t in threa:

        t.start()

    for t in threa:

        t.join()

from concurrent.futures import ProcessPoolExecutor

if __name__ == '__main__':

    dan_sum=0

    multi_sum=0

    start=time.time()

    single()

    end=time.time()

    sum=0

    sum1=0

    sum=end-start

    start=time.time()

    with ProcessPoolExecutor() as pool:

        results=pool.map(s,[i for i in range(ind)])

    end=time.time()

    sum1=end-start

    for i in results:

        print(i)

    print('single',sum,'multi',sum1,dan_sum,multi_sum)