Home Backend Development Python Tutorial What are the exception handling techniques in Python?

What are the exception handling techniques in Python?

Oct 18, 2023 am 11:37 AM
python Skill Exception handling

What are the exception handling techniques in Python?

What are the exception handling techniques in Python? Need specific code examples

Python is a programming language that is easy to learn and use. It provides a powerful exception handling mechanism that can help programmers enhance the reliability and maintainability of their code. When writing Python programs, we often encounter various abnormal situations, such as file reading and writing errors, network connection problems, numerical calculation errors, etc. In order to ensure the normal operation of the program, we need to handle these abnormal situations reasonably.

The following introduces several commonly used Python exception handling techniques and gives corresponding code examples.

  1. try-except statement
    This statement is used to catch and handle exceptions. In the try code block, we write the code that may cause an exception; in the except code block, we handle the logic of the exception. If an exception occurs during the execution of the code in the try code block, Python will immediately jump to the except code block to execute the corresponding processing code.

Code example:

try:
    # 可能会引发异常的代码
    result = 10 / 0
except ZeroDivisionError:
    # 处理除零异常
    print("除零错误")
Copy after login
  1. Multiple exception catching
    In the except code block, we can handle multiple exceptions of different types. To achieve this purpose, we can use multiple except clauses.

Code example:

try:
    # 可能会引发异常的代码
    result = 10 / 0
except ZeroDivisionError:
    # 处理除零异常
    print("除零错误")
except ValueError:
    # 处理值错误异常
    print("值错误")
Copy after login
  1. else clause
    In addition to try and except code blocks, we can also use else clauses. If the code in the try block does not raise any exception, the code in the else clause will be executed.

Code example:

try:
    # 可能会引发异常的代码
    result = 10 / 5
except ZeroDivisionError:
    # 处理除零异常
    print("除零错误")
else:
    # 无异常时执行的代码
    print("计算结果:", result)
Copy after login
  1. finally clause
    The code in the finally clause will be executed regardless of whether an exception occurs in the try code block. Typically, resources or cleanup work are released in the finally clause.

Code sample:

try:
    # 可能会引发异常的代码
    result = 10 / 5
except ZeroDivisionError:
    # 处理除零异常
    print("除零错误")
else:
    # 无异常时执行的代码
    print("计算结果:", result)
finally:
    # 释放资源或清理工作
    print("程序结束")
Copy after login
  1. Custom exception
    In addition to the built-in exception types, we can also customize exception types to better handle specific situations The following exception. We can create custom exception types by inheriting the Exception class.

Code sample:

class MyException(Exception):
    def __init__(self, message):
        self.message = message

try:
    # 可能会引发异常的代码
    raise MyException("自定义异常")
except MyException as e:
    # 处理自定义异常
    print(e.message)
Copy after login

By using these exception handling techniques appropriately, we can make our Python programs more robust and reliable. Whether it is handling expected exceptions or catching unexpected exceptions, it can improve the stability of our code. At the same time, adding appropriate exception handling to the code can better prompt error messages, making it easier for us to debug the code and locate the problem.

Given that Python's exception handling mechanism is very powerful and flexible, we should make full use of it when writing code to improve the quality and maintainability of our programs.

The above is the detailed content of What are the exception handling techniques in Python?. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
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

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

Video Face Swap

Video Face Swap

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

Hot Article

Roblox: Bubble Gum Simulator Infinity - How To Get And Use Royal Keys
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌
Nordhold: Fusion System, Explained
3 weeks ago By 尊渡假赌尊渡假赌尊渡假赌

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Hot Topics

Java Tutorial
1664
14
PHP Tutorial
1268
29
C# Tutorial
1248
24
PHP and Python: Different Paradigms Explained PHP and Python: Different Paradigms Explained Apr 18, 2025 am 12:26 AM

PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

Choosing Between PHP and Python: A Guide Choosing Between PHP and Python: A Guide Apr 18, 2025 am 12:24 AM

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

PHP and Python: A Deep Dive into Their History PHP and Python: A Deep Dive into Their History Apr 18, 2025 am 12:25 AM

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.

How to run sublime code python How to run sublime code python Apr 16, 2025 am 08:48 AM

To run Python code in Sublime Text, you need to install the Python plug-in first, then create a .py file and write the code, and finally press Ctrl B to run the code, and the output will be displayed in the console.

Python vs. JavaScript: The Learning Curve and Ease of Use Python vs. JavaScript: The Learning Curve and Ease of Use Apr 16, 2025 am 12:12 AM

Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

Golang vs. Python: Performance and Scalability Golang vs. Python: Performance and Scalability Apr 19, 2025 am 12:18 AM

Golang is better than Python in terms of performance and scalability. 1) Golang's compilation-type characteristics and efficient concurrency model make it perform well in high concurrency scenarios. 2) Python, as an interpreted language, executes slowly, but can optimize performance through tools such as Cython.

Where to write code in vscode Where to write code in vscode Apr 15, 2025 pm 09:54 PM

Writing code in Visual Studio Code (VSCode) is simple and easy to use. Just install VSCode, create a project, select a language, create a file, write code, save and run it. The advantages of VSCode include cross-platform, free and open source, powerful features, rich extensions, and lightweight and fast.

How to run python with notepad How to run python with notepad Apr 16, 2025 pm 07:33 PM

Running Python code in Notepad requires the Python executable and NppExec plug-in to be installed. After installing Python and adding PATH to it, configure the command "python" and the parameter "{CURRENT_DIRECTORY}{FILE_NAME}" in the NppExec plug-in to run Python code in Notepad through the shortcut key "F6".

See all articles