多线程；多进程
for循环改多线程；

import multiprocessing.dummy as mp
import time
# 在多线程前要思考设计好循环架构
def one_loop(i):
    localtime = time.time()
    print("at time {} print {}".format(localtime, i))
if __name__ == '__main__':
    # mp.Pool(num_threads)
    # 默认是核心数
    p = mp.Pool()
    p.map(one_loop, range(10))
       # 结果
    # at time 1626055253.8186395 print 1
    # at time 1626055253.8086739 print 0
    # at time 1626055253.8186395 print 6
    # at time 1626055253.8186395 print 8
    # at time 1626055253.8186395 print 4
    # at time 1626055253.8186395 print 7
    # at time 1626055253.8186395 print 9
    # at time 1626055253.8186395 print 3
    # at time 1626055253.8186395 print 2
    # at time 1626055253.8186395 print 5

例子：多线程爬虫

这个代码不能直接运行，但是思路非常清晰。

import requests
import re
import os
import multiprocessing.dummy as mp
def one_loop(idx):
    # myComicInfo = list<[comicURL, chapterName, imgUrls]>
    # imgUrls = list<url>
    # 这里也可以不用global而是传参进来，当时懒得查怎么传多个参数，就用global偷懒。
    global myComicInfo
    print(myComicInfo[idx])
    comicURL = myComicInfo[idx][0]
    comicHtml = get_html(comicURL)
    comicImgUrls = get_comic_image_urls(comicHtml)
    # 下载漫画
    comicName = myComicInfo[idx][1]
    for j in range(len(comicImgUrls)):
        imgName = "{}-{}.jpg".format(comicName, j + 1)
        if os.path.exists(imgName):
            print("{} exists".format(imgName))
        else:
            print("downloading {}".format(imgName))
            download_image(comicImgUrls[j], imgName)
if __name__ == '__main__':
    # myComicInfo = list<[comicURL, chapterName, imgUrls]>
    # imgUrls = list<url>
    global myComicInfo
    # 省略100行，把myComicInfo处理好
    # 多线程下载
    p = mp.Pool()
    # 第一个变量，one_loop，是函数
    # 第二个变量，是传入one_loop函数的参数
    # 这里只给one_loop传入一个参数int，即range(xxx)
    p.map(one_loop, range(len(myComicInfo)))
    p.close()
    p.join()