Python学习笔记--threading线程

通过线程来实现多任务并发。提高性能。先看看例子。

 #!/usr/bin/env python
 # -*- coding: utf-8 -*-
 # @Date    : 2020-03-02 21:10:39
 # @Author  : Flyinghappy (671474@qq.com)
 # @Link    : https://www.cnblogs.com/flyinghappy/
 # @Version : $Id$
 import time
 import threading
 import requests
 import urllib.request
 def runinfo(func):
     def inner(*args):
         print('开始访问---'+str(args[0]))
         start_time=time.time()
         result=func(*args)
         stop_time=time.time()
         print(func.__name__+'------running time is: %s'% (stop_time-start_time))
         print('结束访问---'+str(args[0]))
         return result
     return inner
 @runinfo
 def taskfun(url):
     html=urllib.request.urlopen(url).read()
     return html
 @runinfo
 def taskfun_outer(num_list):
     url=[
     'http://www.sina.com.cn',
     'http://www.cnr.cn',
     'http://www.hao123.com',
     'http://www.taobao.com',
     'https://www.eastmoney.com'
     ]
     thread_list=[]
     for i in range(len(url)):
         t=threading.Thread(target=taskfun,args=(url[i],))
         thread_list.append(t)
     for item in thread_list:
         item.start()
     for item in thread_list:
         item.join()

 def main():
     start_time=time.time()
     num_list=['taskfun_outer']
     taskfun_outer(num_list)
     stop_time=time.time()
     print('main---running time is: %s'% (stop_time-start_time))
 if __name__ == '__main__':
     main()

测试结果：从用的时间看访问的任务是并发的，还可以从执行的顺序来看。