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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.
Raising exceptions is crucial for:
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.
Here's how you can raise a ValueError
if input constraints are violated:
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.For more granular control, you can define and raise custom exceptions. Custom exceptions are usually derived from Python’s built-in Exception
class.
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.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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