Practical Python Decorators for Everyday Coding

Decorators are a powerful Python feature that allows you to modify the behavior of functions or methods. They're used extensively in frameworks like Flask, Django, and FastAPI.

A decorator is simply a function that takes another function as input and returns a new function. The @decorator syntax is just syntactic sugar for func = decorator(func).

Common use cases include: timing function execution, caching results (memoization), logging function calls, validating inputs, retrying failed operations, and controlling access (authentication).

Python's standard library includes functools.wraps to preserve the original function's metadata, and functools.lru_cache for simple memoization. These are great starting points for understanding decorators.

Write your own decorators in CompileZ's Python editor. Start with a simple timer decorator, then build up to more complex patterns.