Python

Python class decorators extend the functionality of classes in a manner similar to how function decorators extend functions. They allow you to modify or enhance the behavior of classes without directly altering their source code. Class decorators are particularly useful for adding features like validation, caching, or logging to classes in a flexible and reusable way.

One common challenge with decorators is that they can unintentionally strip away important metadata from the functions they decorate. Fortunately, there is a solution to this problem in the form of the Python wraps decorator, which is available in the functools module. You can use wraps in any decorator you create to preserve the original metadata.

Python decorators are functions that allow you to enhance the functionality of other functions without modifying their original code directly. Decorators can accept arguments themselves, which can make them even more versatile. These arguments can modify the behavior of the decorator or the decorated function in various ways.

Python decorators allow you to add functionality to existing functions without modifying their original code directly. They are especially useful for adding common functionality such as logging, authentication, performance monitoring, and caching to specific functions you implement. To crate a decorator, you don't need to use new Python features beyond that of functions, however Python does have specialized @ syntax that can simplify the process.