


How to use the urllib.request.urlopen() function to send a GET request in Python 3.x
How to use the urllib.request.urlopen() function to send a GET request in Python 3.x
In network programming, we often need to obtain data from the remote server by sending HTTP requests. In Python, we can use the urllib.request.urlopen() function in the urllib module to send an HTTP request and get the response returned by the server. This article will describe how to use this function to send GET requests.
First, we need to import the urllib.request module:
import urllib.request
Next, we can use the urllib.request.urlopen() function to send a GET request. This function accepts a URL parameter of type string and returns a response object similar to a file object. We can use the read() method of this object to read the data returned by the server.
The following is a sample code that demonstrates how to use the urllib.request.urlopen() function to send a GET request and obtain the data returned by the server:
import urllib.request def send_get_request(url): # 发送 GET 请求 response = urllib.request.urlopen(url) # 读取服务器返回的数据 data = response.read() # 将返回的数据转换为字符串并打印 print(data.decode('utf-8'))
In the above code, the send_get_request() function Accepts a string type URL parameter, then uses the urllib.request.urlopen() function to send a GET request and prints the returned data to the console.
We can call the send_get_request() function to send a GET request, as shown below:
url = 'http://www.example.com' send_get_request(url)
The above code will send a GET request to http://www.example.com, and then print the server The data returned.
It should be noted that the return value of the urllib.request.urlopen() function is a response object similar to a file object. We can obtain other information returned by the server by calling some methods of this object, such as Response code, response header, etc. The following is a sample code to obtain the response code and response header:
import urllib.request def send_get_request(url): # 发送 GET 请求 response = urllib.request.urlopen(url) # 打印响应码 print('Response Code:', response.getcode()) # 打印响应头 print('Response Headers:', response.getheaders()) # 读取服务器返回的数据 data = response.read() # 将返回的数据转换为字符串并打印 print(data.decode('utf-8'))
Summary
This article introduces how to use the urllib.request.urlopen() function to send a GET request and obtain the response returned by the server. data. By calling this function, we can easily send a request to the remote server and get the response. At the same time, we can also obtain other information such as response code and response header by calling the method of the response object. I hope this article will be helpful to everyone when using Python for network programming.
The above is the detailed content of How to use the urllib.request.urlopen() function to send a GET request in Python 3.x. For more information, please follow other related articles on the PHP Chinese website!

Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Atom editor mac version download
The most popular open source editor

SublimeText3 English version
Recommended: Win version, supports code prompts!

mPDF
mPDF is a PHP library that can generate PDF files from UTF-8 encoded HTML. The original author, Ian Back, wrote mPDF to output PDF files "on the fly" from his website and handle different languages. It is slower than original scripts like HTML2FPDF and produces larger files when using Unicode fonts, but supports CSS styles etc. and has a lot of enhancements. Supports almost all languages, including RTL (Arabic and Hebrew) and CJK (Chinese, Japanese and Korean). Supports nested block-level elements (such as P, DIV),

DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software

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.