search
HomeBackend DevelopmentPython TutorialWhat is exception handling in Python?

What is exception handling in Python?

Jun 03, 2023 pm 06:40 PM
mistakeabnormalpython exception handling

Exception handling in Python means that when running a program, if an error occurs (such as dividing by zero, the file does not exist, etc.) causing the program to terminate or an exception occurs, the program will automatically jump to the exception handling code block and perform the corresponding processing so that the program does not terminate directly.

Exception handling is very important. It can help programmers output error information, and can help us find the location of the error, reduce the error rate of the program, and improve the stability and maintainability of the program.

Exception handling in Python mainly includes the following keywords: try, except, finally and raise. Their usage and functions are introduced below:

1.try-except

The try-except statement can catch exceptions and handle them to prevent the program from being interrupted due to exceptions. The syntax is as follows:

try:
    #代码块
except [异常类型]:
    #异常处理代码块

The code block below the try statement is the code block to be executed. If an exception occurs, it will jump to the except block for exception handling. If no exception occurs, the code in the except block is skipped.

When except is followed by a specific exception type, the code in the except block will be executed only when the exception of that type is caught; when except is not followed by any exception type, it will be caught. All abnormal.

An example is given below:

try:
    a = 5 / 0  # 这里会抛出一个ZeroDivisionError异常
except ZeroDivisionError:
    print("除数不能为零")

Explanation: The above program will throw a ZeroDivisionError exception when executing 5/0, but due to the use of the try-except statement, the program will not It crashes, but outputs the sentence "The divisor cannot be zero".

2.finally

finally is an optional code block. Regardless of whether there is an exception in the try block, the code in the finally block will be executed. For example:

try:
    # 代码块
except:
    # 异常处理代码块
finally:
    # finally块

In the above program, if an exception occurs in the try block, the except block will be executed for exception handling; if no exception occurs, the code in the finally block will also be executed. If statements such as return, break, or continue appear in the finally block, the value in finally will be returned.

An example is given below:

try:
    f = open('filename.txt', 'r')
    lines = f.readlines()
    result = ""
    for line in lines:
        result += line
except IOError:
    print("文件读取出错")
finally:
    print("关闭文件")
    f.close()

Explanation: The above program uses try-except to read the file. If a reading error occurs, the code in the except block will be executed regardless of whether If an exception occurs, the code in the finally block will be executed to ensure that the file is closed correctly.

3.raise

The raise statement is used to throw exceptions manually. For example:

x = 10
if x > 5:
    raise Exception('x不能大于5。x的值为:{}'.format(x))

In the above program, when the value of x is greater than 5, the program will manually throw an Exception type exception. After the exception is thrown, the program will jump to the except block for exception handling.

4.try-except-else

The code in the else block in the try-except-else statement will only be executed when no exception is thrown in the try block. For example:

try:
    x = int(input("请输入一个整数:"))
except ValueError:
    print("无效的输入!")
else:
    print("输入的数字是:", x)

In the above program, when the user input is not an integer, a ValueError exception will be thrown, and the program will execute the code in the except block. When the input is an integer, the program will execute else. Code in a block that outputs the number entered by the user.

Summary

Exception handling is very important for programmers. It can help us find errors in the program, reduce the crash rate of the program, and improve the stability and maintainability of the program. . In Python, the try-except statement can help us catch exceptions and handle them. The finally block can ensure that the code in the finally block will be executed under any circumstances. The raise statement can manually throw exceptions. Please make reasonable use of these keywords to ensure that your program is more stable and reliable.

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

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
Python's Execution Model: Compiled, Interpreted, or Both?Python's Execution Model: Compiled, Interpreted, or Both?May 10, 2025 am 12:04 AM

Pythonisbothcompiledandinterpreted.WhenyourunaPythonscript,itisfirstcompiledintobytecode,whichisthenexecutedbythePythonVirtualMachine(PVM).Thishybridapproachallowsforplatform-independentcodebutcanbeslowerthannativemachinecodeexecution.

Is Python executed line by line?Is Python executed line by line?May 10, 2025 am 12:03 AM

Python is not strictly line-by-line execution, but is optimized and conditional execution based on the interpreter mechanism. The interpreter converts the code to bytecode, executed by the PVM, and may precompile constant expressions or optimize loops. Understanding these mechanisms helps optimize code and improve efficiency.

What are the alternatives to concatenate two lists in Python?What are the alternatives to concatenate two lists in Python?May 09, 2025 am 12:16 AM

There are many methods to connect two lists in Python: 1. Use operators, which are simple but inefficient in large lists; 2. Use extend method, which is efficient but will modify the original list; 3. Use the = operator, which is both efficient and readable; 4. Use itertools.chain function, which is memory efficient but requires additional import; 5. Use list parsing, which is elegant but may be too complex. The selection method should be based on the code context and requirements.

Python: Efficient Ways to Merge Two ListsPython: Efficient Ways to Merge Two ListsMay 09, 2025 am 12:15 AM

There are many ways to merge Python lists: 1. Use operators, which are simple but not memory efficient for large lists; 2. Use extend method, which is efficient but will modify the original list; 3. Use itertools.chain, which is suitable for large data sets; 4. Use * operator, merge small to medium-sized lists in one line of code; 5. Use numpy.concatenate, which is suitable for large data sets and scenarios with high performance requirements; 6. Use append method, which is suitable for small lists but is inefficient. When selecting a method, you need to consider the list size and application scenarios.

Compiled vs Interpreted Languages: pros and consCompiled vs Interpreted Languages: pros and consMay 09, 2025 am 12:06 AM

Compiledlanguagesofferspeedandsecurity,whileinterpretedlanguagesprovideeaseofuseandportability.1)CompiledlanguageslikeC arefasterandsecurebuthavelongerdevelopmentcyclesandplatformdependency.2)InterpretedlanguageslikePythonareeasiertouseandmoreportab

Python: For and While Loops, the most complete guidePython: For and While Loops, the most complete guideMay 09, 2025 am 12:05 AM

In Python, a for loop is used to traverse iterable objects, and a while loop is used to perform operations repeatedly when the condition is satisfied. 1) For loop example: traverse the list and print the elements. 2) While loop example: guess the number game until you guess it right. Mastering cycle principles and optimization techniques can improve code efficiency and reliability.

Python concatenate lists into a stringPython concatenate lists into a stringMay 09, 2025 am 12:02 AM

To concatenate a list into a string, using the join() method in Python is the best choice. 1) Use the join() method to concatenate the list elements into a string, such as ''.join(my_list). 2) For a list containing numbers, convert map(str, numbers) into a string before concatenating. 3) You can use generator expressions for complex formatting, such as ','.join(f'({fruit})'forfruitinfruits). 4) When processing mixed data types, use map(str, mixed_list) to ensure that all elements can be converted into strings. 5) For large lists, use ''.join(large_li

Python's Hybrid Approach: Compilation and Interpretation CombinedPython's Hybrid Approach: Compilation and Interpretation CombinedMay 08, 2025 am 12:16 AM

Pythonusesahybridapproach,combiningcompilationtobytecodeandinterpretation.1)Codeiscompiledtoplatform-independentbytecode.2)BytecodeisinterpretedbythePythonVirtualMachine,enhancingefficiencyandportability.

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

Video Face Swap

Video Face Swap

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

Hot Tools

VSCode Windows 64-bit Download

VSCode Windows 64-bit Download

A free and powerful IDE editor launched by Microsoft

DVWA

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

Atom editor mac version download

Atom editor mac version download

The most popular open source editor

SublimeText3 English version

SublimeText3 English version

Recommended: Win version, supports code prompts!

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor