Python From Beginner to Advanced

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Python - Raise Exceptions

In Python, raising exceptions is an essential aspect of robust error handling and program control. This lesson explores why and how to raise exceptions effectively, enhancing code reliability and integrity by preventing the continuation of execution under erroneous conditions.

Importance of Raising Exceptions

Raising exceptions is crucial for:

  1. Enforcing Constraints: It ensures that function inputs or states adhere to specified norms.
  2. Managing Control Flow: It allows for handling unusual conditions or errors distinctly from the main logic.
  3. Communicating Issues: It provides explicit feedback on what went wrong, aiding in debugging and user interactions.
  4. Safeguarding Code Integrity: It prevents the application from operating in an unstable or incorrect state.

Using the raise Statement

The raise statement in Python triggers an exception when specific conditions occur. Python supports raising built-in exceptions (like ValueError, TypeError, KeyError, etc.) and also allows defining custom exceptions for more tailored error handling.

Example 1: Raising a Built-in Exception

Here's how you can raise a ValueError if input constraints are violated:

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Python3

. . . .

Explanation:

  • set_age function: Checks whether age is an integer and positive.
  • raise TypeError: Triggers if the type of age isn't an integer.
  • raise ValueError: Triggers if age is negative.
  • try-except block: Catches and handles the ValueError, providing a user-friendly error message.

Example 2: Raising Custom Exceptions

For more granular control, you can define and raise custom exceptions. Custom exceptions are usually derived from Python’s built-in Exception class.

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Python3

. . . .

Explanation:

  • UnderageException class: Defines a custom exception for situations where the age is below a certain limit.
  • check_age function: Validates the age and raises UnderageException if the age is below 18.
  • Error handling: The custom exception is caught and handled explicitly, providing detailed feedback.

Using the raise statement effectively allows Python programmers to assert control over their code's execution flow by preemptively handling potential issues in a predictable and manageable way. Whether using built-in exceptions for common error types or custom exceptions for specific needs, raising exceptions is integral to developing safe, stable, and user-friendly applications.

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