Python Decorators: Enhancing Functions

Decorators are a powerful feature in Python that allow you to modify or extend the behavior of functions or methods without changing their code. At its core, a decorator is a function that takes another function as an argument and returns a new function that usually calls the original with some added logic. The syntax uses the @ symbol. For example, you might create a @timer decorator that prints how long a function takes to run. The @property decorator is a built-in that lets you define methods that can be accessed like attributes. Decorators are used extensively in web frameworks like Flask and Django. In Flask, @app.route is a decorator that associates a function with a URL. Writing your own decorators requires understanding functions as first-class objects and closures. A simple decorator might log when a function is called. A more advanced one could handle authentication or retry logic. Decorators help you adhere to the DRY (Don't Repeat Yourself) principle by extracting common functionality. To practice, try writing a decorator that ensures a function is only called once, or one that caches the results of expensive function calls. Understanding decorators will help you read and write more advanced Python code.