The @property decorator in Python transforms methods into attribute-like objects, enhancing code readability and maintainability. It supports getters, setters, and deleters, allowing developers to create smart attributes with computed values, validation logic, and dynamic behavior.

Python function decorators are powerful features that allow developers to modify or enhance functions without altering their source code. These versatile tools, crucial for clean and efficient coding practices, enable the separation of concerns and promote code reusability. From simple output modifications to complex authentication and rate limiting in web applications, decorators serve a wide range of purposes in Python programming.

Function decorators, both synchronous and asynchronous, are versatile tools in Python. They allow developers to extend and modify function behavior cleanly, leading to more modular and efficient code.

This module simplifies the creation of user-defined classes by automatically generating common special methods like __init__ and __repr__. It achieves this through a convenient decorator and a set of dedicated functions.