Easily play with Python exception handling and say goodbye to the nightmare of code failures

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Release: 2024-02-25 16:10:13
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轻松玩转 Python 异常处理,告别代码故障的噩梦

1. Exceptions and their types

In python, exceptions refer to errors or problems encountered during program execution. Exceptions can be caused by a variety of reasons, including syntax errors in the code, runtime errors, memory errors, input/output errors, etc. Python has many built-in exception classes to represent different error types. For example:

  • SyntaxError: There is a syntax error in the code.
  • TypeError: Data type mismatch.
  • ValueError: The parameters of the function or method are incorrect.
  • IndexError: List or tuple index out of bounds.
  • KeyError: The specified key does not exist in the dictionary.

2. Exception handling statements

There are three types of exception handling statements in Python: try/except/finally. They can be used to catch and handle exceptions.

  • try: The try statement block is used to execute code that may cause exceptions.
  • except: The except statement block is used to catch and handle exceptions.
  • finally: The finally statement block is used for code that is executed after the try/except statement block is executed.

Example:

try:
# 可能会引发异常的代码
except Exception as e:
# 捕获并处理异常
print("An exception occurred:", e)
finally:
# 无论是否发生异常,都会执行的代码
print("Finally block executed.")
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3. Catching and handling exceptions

To catch and handle exceptions, you can use try/except statement blocks. The try block is used to execute code that may throw an exception, and the except block is used to catch and handle exceptions.

Example:

try:
# 可能会引发 TypeError 的代码
x = int("abc")
except TypeError as e:
# 捕获并处理 TypeError 异常
print("TypeError occurred:", e)
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4. Throw exception

You can use the raise statement to throw an exception. The raise statement explicitly raises an exception so that it can be caught and handled at the appropriate point in the program.

Example:

def divide(a, b):
if b == 0:
raise ValueError("Cannot divide by zero.")
return a / b

try:
result = divide(10, 0)
except ValueError as e:
print("ValueError occurred:", e)
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5. Custom exception

Python allows us to customize exception classes to provide more detailed information for specific error types. Custom exception classes can inherit from the built-in Exception class.

Example:

class MyError(Exception):
pass

try:
# 可能会引发 MyError 的代码
raise MyError("This is a custom error message.")
except MyError as e:
print("MyError occurred:", e)
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Summarize

Python exception handling is an integral part of programming. It can help us handle errors in the code gracefully and avoid program crashes. This article introduces the basics of Python exception handling and shows through demo code how to use it to catch and handle exceptions.

The above is the detailed content of Easily play with Python exception handling and say goodbye to the nightmare of code failures. For more information, please follow other related articles on the PHP Chinese website!

source:lsjlt.com
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