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Python多线程编程实例分析

一、多线程基础与并行执行示例

在Python中，多线程编程可以通过threading模块实现。以下是一个简单的多线程并行执行示例：

import threadingimport timedef loop():    print('thread %s is running...' % threading.current_thread().name)    n = 0    while n < 5:        n += 1        print('thread %s ' % threading.current_thread().name)        time.sleep(3)    print('thread %s ended.' % threading.current_thread().name)print('thread %s is running...' % threading.current_thread().name)t = threading.Thread(target=loop, name='LoopThread')t.start()# t.join()print('thread %s ended.' % threading.current_thread().name)# 执行结果：# thread MainThread is running...# thread LoopThread is running...thread MainThread ended.# thread LoopThread# thread LoopThread# thread LoopThread# thread LoopThread# thread LoopThread ended.

结果分析

二、多线程与队列的结合应用

以下是一个利用队列实现多线程间数据交互的实例：

import Queueimport timeimport threadingimport randomq = Queue.Queue()def pro(name):    print("---pro data kaiqi")    time.sleep(3)    for i in range(20):        time.sleep(1)        print(name + "pro data" + str(i))        q.put(i)def con(name):    print("-----con data kaiqi")    n = 0    while n < 20:        time.sleep(3)        data = q.get()        print(name + "con data----" + str(data))        n += 1# 创建并启动子线程t1 = threading.Thread(group=None, target=pro, name=None, kwargs={'name':'laoban'})t2 = threading.Thread(group=None, target=con, name=None, kwargs={'name':'yuangong'})t1.start()t2.start()

结果分析

三、多线程执行机制总结

在Python中，多线程编程通过threading模块实现，核心原理是抢占式调度。以下是本文中两个示例的主要启示：

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