This article was originally written by Shaoni Mukherjee (AI Technical Writer) Key takeaways Python decorators allow additional functionality to be added to functions without changing the original function code. Decorators help reduce repeated code and improve code reusability. The @decorator_name syntax is a cleaner way of wrapping functions. Decorators are commonly used for logging, authentication, caching, validation, and performance monitoring. *args and **kwargs make decorators flexible enough to work with different function arguments. functools.wraps helps preserve the original function metadata and should be considered a best practice. Multiple decorators can be chained together to add multiple layers of functionality. Frameworks like Flask and Django rely heavily on decorators for routing, authentication, and request handling. Decorators should be kept simple and focused to maintain readability and easier debugging.…