search
HomeBackend DevelopmentPython TutorialPython采用socket模拟TCP通讯的实现方法

本文实例讲述了Python采用socket模拟TCP通讯的实现方法。分享给大家供大家参考。具体实现方法如下:

对于TCP server端的创建而言,分为如下几个步骤:

创建socket对象(socket):其中两个参数分别为Address Family(如AF_INET为IPV4,AF_INET6为IPV6,AF_UNIX为UNIX域协议族)、socket类型(如SOCK_STREAM为TCP,SOCK_DGRAM为UDP)。

绑定服务器地址(bind):参数为服务器地址二元组。
监听(listen):参数为允许的连接数。
等待请求(accept)。
接收数据(recv、recvfrom、recvfrom_into、recv_into)、发送数据(send、sendall、sendto)。
关闭连接(close)。

示例代码如下:

代码如下:

Python socket: TCP server
Python#! /usr/bin/python
# -*- coding: utf-8 -*-
import socket
sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
server_address = ('127.0.0.1', 12345)
print "Starting up on %s:%s" % server_address
sock.bind(server_address)
sock.listen(1)
while True:
    print "Waiting for a connection"
    connection, client_address = sock.accept()
    try:
        print "Connection from", client_address
        data = connection.recv(1024)
        print "Receive '%s'" % data
    finally:
        connection.close()


其中,服务器地址二元组中,第一个元素为服务器IP(留空为在任意IP监听),第二个元素为服务器端口号。

而对于TCP client而言,通常包括如下几个步骤:

创建socket对象(socket):同server端。
连接服务器(connect):参数为服务器地址二元组。
发送和接收数据:同server端。
关闭连接:同server端。

示例代码如下:

代码如下:

Python socket: TCP client
Python# /usr/bin/python
# -*- coding: utf-8 -*-
import socket
def check_tcp_status(ip, port):
    sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
    server_address = (ip, port)
    print 'Connecting to %s:%s.' % server_address
    sock.connect(server_address)
    message = "I'm TCP client"
    print 'Sending "%s".' % message
    sock.sendall(message)
    print 'Closing socket.'
    sock.close()

if __name__ == "__main__":
    print check_tcp_status("127.0.0.1", 12345)

希望本文所述对大家的Python程序设计有所帮助。

Statement
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Learning Python: Is 2 Hours of Daily Study Sufficient?Learning Python: Is 2 Hours of Daily Study Sufficient?Apr 18, 2025 am 12:22 AM

Is it enough to learn Python for two hours a day? It depends on your goals and learning methods. 1) Develop a clear learning plan, 2) Select appropriate learning resources and methods, 3) Practice and review and consolidate hands-on practice and review and consolidate, and you can gradually master the basic knowledge and advanced functions of Python during this period.

Python for Web Development: Key ApplicationsPython for Web Development: Key ApplicationsApr 18, 2025 am 12:20 AM

Key applications of Python in web development include the use of Django and Flask frameworks, API development, data analysis and visualization, machine learning and AI, and performance optimization. 1. Django and Flask framework: Django is suitable for rapid development of complex applications, and Flask is suitable for small or highly customized projects. 2. API development: Use Flask or DjangoRESTFramework to build RESTfulAPI. 3. Data analysis and visualization: Use Python to process data and display it through the web interface. 4. Machine Learning and AI: Python is used to build intelligent web applications. 5. Performance optimization: optimized through asynchronous programming, caching and code

Python vs. C  : Exploring Performance and EfficiencyPython vs. C : Exploring Performance and EfficiencyApr 18, 2025 am 12:20 AM

Python is better than C in development efficiency, but C is higher in execution performance. 1. Python's concise syntax and rich libraries improve development efficiency. 2.C's compilation-type characteristics and hardware control improve execution performance. When making a choice, you need to weigh the development speed and execution efficiency based on project needs.

Python in Action: Real-World ExamplesPython in Action: Real-World ExamplesApr 18, 2025 am 12:18 AM

Python's real-world applications include data analytics, web development, artificial intelligence and automation. 1) In data analysis, Python uses Pandas and Matplotlib to process and visualize data. 2) In web development, Django and Flask frameworks simplify the creation of web applications. 3) In the field of artificial intelligence, TensorFlow and PyTorch are used to build and train models. 4) In terms of automation, Python scripts can be used for tasks such as copying files.

Python's Main Uses: A Comprehensive OverviewPython's Main Uses: A Comprehensive OverviewApr 18, 2025 am 12:18 AM

Python is widely used in data science, web development and automation scripting fields. 1) In data science, Python simplifies data processing and analysis through libraries such as NumPy and Pandas. 2) In web development, the Django and Flask frameworks enable developers to quickly build applications. 3) In automated scripts, Python's simplicity and standard library make it ideal.

The Main Purpose of Python: Flexibility and Ease of UseThe Main Purpose of Python: Flexibility and Ease of UseApr 17, 2025 am 12:14 AM

Python's flexibility is reflected in multi-paradigm support and dynamic type systems, while ease of use comes from a simple syntax and rich standard library. 1. Flexibility: Supports object-oriented, functional and procedural programming, and dynamic type systems improve development efficiency. 2. Ease of use: The grammar is close to natural language, the standard library covers a wide range of functions, and simplifies the development process.

Python: The Power of Versatile ProgrammingPython: The Power of Versatile ProgrammingApr 17, 2025 am 12:09 AM

Python is highly favored for its simplicity and power, suitable for all needs from beginners to advanced developers. Its versatility is reflected in: 1) Easy to learn and use, simple syntax; 2) Rich libraries and frameworks, such as NumPy, Pandas, etc.; 3) Cross-platform support, which can be run on a variety of operating systems; 4) Suitable for scripting and automation tasks to improve work efficiency.

Learning Python in 2 Hours a Day: A Practical GuideLearning Python in 2 Hours a Day: A Practical GuideApr 17, 2025 am 12:05 AM

Yes, learn Python in two hours a day. 1. Develop a reasonable study plan, 2. Select the right learning resources, 3. Consolidate the knowledge learned through practice. These steps can help you master Python in a short time.

See all articles

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

AI Hentai Generator

AI Hentai Generator

Generate AI Hentai for free.

Hot Article

R.E.P.O. Energy Crystals Explained and What They Do (Yellow Crystal)
1 months agoBy尊渡假赌尊渡假赌尊渡假赌
R.E.P.O. Best Graphic Settings
1 months agoBy尊渡假赌尊渡假赌尊渡假赌
Will R.E.P.O. Have Crossplay?
1 months agoBy尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Safe Exam Browser

Safe Exam Browser

Safe Exam Browser is a secure browser environment for taking online exams securely. This software turns any computer into a secure workstation. It controls access to any utility and prevents students from using unauthorized resources.

WebStorm Mac version

WebStorm Mac version

Useful JavaScript development tools

SAP NetWeaver Server Adapter for Eclipse

SAP NetWeaver Server Adapter for Eclipse

Integrate Eclipse with SAP NetWeaver application server.

MinGW - Minimalist GNU for Windows

MinGW - Minimalist GNU for Windows

This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

Atom editor mac version download

Atom editor mac version download

The most popular open source editor