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EXCEPTION HANDLING

Exception Handling home

In Python, exception handling is a mechanism that allows you to respond to runtime errors in a controlled way, preventing your program from crashing. When an error occurs during execution, Python raises an exception, which can be handled to ensure that the program behaves gracefully. Understanding how to manage exceptions effectively is a crucial part of building robust Python applications.

By using exception handling, you can write code that anticipates potential issues, detects errors, and responds accordingly without breaking the overall program flow.

Key Concepts

  • Exception: An error that occurs during the execution of a program, disrupting the normal flow of instructions.
  • try-except block: A structure that allows you to catch and handle exceptions. The code that might raise an exception is placed inside the try block, and the response to the exception is handled in the except block.
  • finally block: A block that executes after the try and except blocks, regardless of whether an exception occurred or not.
  • raise statement: A way to manually throw an exception in your code, enabling custom error handling.

When to Use Exception Handling

Exception handling is useful in scenarios where you expect certain errors to occur and want to ensure that your program can handle them gracefully. Common use cases include:

  • Reading from files that might not exist or could be corrupted.
  • Handling user input that could be invalid or unexpected.
  • Managing network connections that may fail or time out.
  • Handling operations that depend on external resources, such as databases or APIs.

Explore Exception Handling in Python

Common Exception Handling Techniques

Python provides several techniques to handle exceptions, ensuring that your program can anticipate and respond to errors effectively. Some of the most commonly used techniques include:

Understanding try-except Blocks

The basic structure of handling exceptions in Python starts with the try-except block. When an error occurs in the try block, Python immediately jumps to the except block, where the error can be managed:


try:
    result = 10 / 0
except ZeroDivisionError:
    print("You cannot divide by zero!")

In this example, attempting to divide by zero will trigger a ZeroDivisionError, which is then caught and handled by printing a friendly error message.


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