Tutorials - Geir Arne Hjelle: Introduction to Decorators: Power Up Your Python Code

Python

Learn to power up your Python code with decorators, modifying function behavior without changing source code. Explore uses, syntax, and examples of decorators, including logging, caching, and retry logic.

Key takeaways

Decorators allow you to modify the behavior of functions without changing their source code.
In Python, decorators are defined using the @ symbol followed by the name of the decorator function.
Decorators can be used to log function calls, retry failed functions, or add additional functionality to existing code.
The wrapper function is called when the decorated function is invoked, and the result is returned to the caller.
The *args and **kwargs syntax can be used to pass arbitrary arguments to decorated functions.
The functools module provides the wraps function, which can be used to preserve metadata about the original function.
Decorators can be nested, allowing you to chain multiple decorators together.
The order in which decorators are applied can affect their behavior.
Decorators can be used to implement logging, caching, and retry logic.
The retry decorator example shows how to implement a retry mechanism using a decorator.
The cached decorator example shows how to implement caching using a decorator.
The with_statement decorator example shows how to use a decorator to implement a with statement-like behavior.
The property decorator example shows how to use a decorator to implement a property-like behavior.

Tutorials - Geir Arne Hjelle: Introduction to Decorators: Power Up Your Python Code

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