Home Backend Development Python Tutorial Detailed explanation of five exception handling mechanisms in python

Detailed explanation of five exception handling mechanisms in python

Mar 17, 2017 pm 03:55 PM
python

I started learning programming a few years ago. Until now, I have always been afraid and repelled by Exception handling in programs. The reason for this is due to lack of understanding. This time when I attack python, I first list the few things that I fear the most and are least familiar with. Among them is "Exception Handling".

"pe into Python" does not specifically introduce exception handling, but only briefly explains it when used in examples. Download "Learn Python" today and go directly to exception handling. This part has four chapters. The first chapter explains the general use of exception handling, and the subsequent chapters discuss its mechanism in depth. I have only read the first chapter so far. I want to learn how to use it first and then read more when necessary.

Python mainly supports five exception mechanisms, listed one by one.

Default exception handler

The code is as follows:

s = 'Hello girl!'
print s[100]
print 'continue'
Copy after login

If we do not take any precautions for exceptions, then if an exception occurs during program execution, the program will be interrupted. , calling python's default exception handler and outputting exception information in the terminal. In this case, line 3 of code will not be executed.

try…except

The code is as follows:

s = 'Hello girl!'
try:
 print s[100]
except IndexError:
 print 'error...'
print 'continue'
Copy after login

When the program executes to the second sentence, it finds the try statement, enters the try statement block for execution, an exception occurs, and returns to the try statement layer , look for whether there is an except statement behind it. After the except statement is found, this custom exception handler will be called. After except handles the exception, the program continues execution. In this case, the last two print statements will be executed.

except can also be left empty, indicating that any type of exception is caught.

try…finally

The code is as follows:

s = 'Hello girl!'
try:
 print s[100]
finally:
 print 'error...'
print 'continue'
Copy after login

The finally statement indicates that the statements in finally must be executed regardless of whether an exception occurs or not. However, since there is no except handler, the program is interrupted after finally execution. In this case, the second print will be executed, but the first print will not be executed. If there is no exception in the try statement, all three prints will be executed.

assert

The code is as follows:

assert False,'error...'
print 'continue'
Copy after login

This statement first determines whether the statement immediately following assert is True or False. If it is True, continue to execute print. If it is False The program is interrupted, the default exception handler is called, and the prompt information after the comma in the assert statement is output. In this case, the program is interrupted, an error is prompted, and subsequent prints are not executed.

with…as

The code is as follows:

with open('nothing.txt','r') as f:
 f.read()
 print 2/0
print 'continue'
Copy after login

When we usually use a file-like stream

object, we need to call the close method after use. , very troublesome. The with...as statement here provides a very convenient alternative: after open opens the file, assign the returned file stream object to f, and then use it in the with statement block. After the with statement block is completed, the file will be closed automatically and hiddenly.

If an exception occurs in the with statement or statement block, the default exception handler will be called, but the file will still be closed normally.

In this case, an exception will be thrown and the final print will not be executed.


The above is the detailed content of Detailed explanation of five exception handling mechanisms 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
Mandragora: Whispers Of The Witch Tree - How To Unlock The Grappling Hook
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
1666
14
PHP Tutorial
1273
29
C# Tutorial
1253
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.

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.

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.

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