python 多线程实现 threading

# encoding: utf-8
#!/usr/bin/python

import threading
import time
import Queue

exit = 0

class testthread (threading.Thread):
    def __init__(self, id, name, counter):
        threading.Thread.__init__(self)
        self.threadID = id
        self.name = name
        self.counter = counter

    # def run(self):
    #     print("开始" + self.name)
    #     testtime(self.name, self.counter, 5)
    #     print("结束" + self.name)

# def testtime(num, delay,counter):
#     while counter:
#         if exit:
#             thread.exit()
#         time.sleep(delay)
#         print("%s:%s"% (num,time.ctime(time.time())))
#         counter -= 1
#
# thread1 = testthread(1, "线程1", 1)
# thread2 = testthread(2, "线程2", 2)
#
# thread1.start()
# thread2.start()
#
# print("结束多线程")

#     def run(self):
#         print("开始" + self.name)
#         threadlock.acquire()
#         print_time(self.name,self.counter,3)
#         threadlock.release()
#
# def print_time(threadName, delay, counter):
#     while counter:
#         time.sleep(delay)
#         print ("%s: %s" % (threadName, time.ctime(time.time())))
#         counter -= 1
#
# threadlock = threading.Lock()
# threads = []
#
# thread1 = testthread(1, "线程1", 1)
# thread2 = testthread(2, "线程2", 2)
# thread1.start()
# thread2.start()
# threads.append(thread1)
# threads.append(thread2)
#
# for over in threads:
#    over.join()
# print("结束多线程")

使用Threading模块创建线程，直接从threading.Thread继承，然后重写__init__方法和run方法。
使用Thread对象的Lock和Rlock可以实现简单的线程同步，这两个对象都有acquire方法和release方法，对于那些需要每次只允许一个线程操作的数据，可以将其操作放到acquire和release方法之间。