Python decorators are functions that modify the behavior of other functions. Use the `@decorator_name` syntax above a function definition to apply a decorator, enhancing its functionality without modifying the code directly.

Decorators in Python are a powerful feature that allows you to modify the behavior of functions or methods. They are essentially functions that take another function as an argument and extend or alter its behavior without permanently modifying it. To create a decorator, define a function that accepts another function as a parameter, and within this function, define a nested function that wraps the original function. Use the @decorator_name syntax above the function definition to apply the decorator. For example, you might create a logging decorator that prints a message before and after a function call. When the decorated function is invoked, it will execute the additional behavior defined in the decorator. Decorators are particularly useful for tasks such as logging, enforcing access control, caching results, and validating inputs. They promote code reusability and separation of concerns, making your code cleaner and more maintainable. To enhance your understanding, experiment with creating and applying decorators in different scenarios, and consider exploring built-in decorators like @staticmethod and @classmethod for class methods.