python实现多线程的常见方式

目前python 提供了几种多线程实现方式 thread，threading，multithreading ,其中thread模块比较底层，而threading模块是对thread做了一些包装，可以更加方便的被使用。

一般来说，使用线程有两种模式:

A 创建线程要执行的函数，把这个函数传递进Thread对象里，让它来执行；
B 继承Thread类，创建一个新的class，将要执行的代码 写到run函数里面。

t.py 脚本内容

 

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import threading,time from time import sleep, ctime def now() :   return str( time.strftime( '%Y-%m-%d %H:%M:%S' , time.localtime() ) ) def test(nloop, nsec):   print 'start loop', nloop, 'at:', now() sleep(nsec)   print 'loop', nloop, 'done at:', now() def main():   print 'starting at:',now()   threadpool=[] for i in xrange(10):     th = threading.Thread(target= test,args= (i,2))     threadpool.append(th) for th in threadpool:     th.start() for th in threadpool :     threading.Thread.join( th )   print 'all Done at:', now() if __name__ == '__main__':     main()

 thclass.py 脚本内容：

 

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import threading ,time from time import sleep, ctime def now() :   return str( time.strftime( '%Y-%m-%d %H:%M:%S' , time.localtime() ) ) class myThread (threading.Thread) : """docstring for myThread"""    def __init__(self, nloop, nsec) :      super(myThread, self).__init__()      self.nloop = nloop      self.nsec = nsec    def run(self):      print 'start loop', self.nloop, 'at:', ctime() sleep(self.nsec)      print 'loop', self.nloop, 'done at:', ctime() def main():    thpool=[]    print 'starting at:',now() for i in xrange(10):      thpool.append(myThread(i,2)) for th in thpool:      th.start() for th in thpool:      th.join()    print 'all Done at:', now() if __name__ == '__main__':     main()