AI Practitioner

In Python, decorators are a powerful feature used to modify or enhance functions and classes. They are a key part of advanced metaprogramming and are frequently used in logging, authentication, caching, metrics, and tracing in production systems. This document provides an in-depth explanation of the syntax and all common use cases of Python decorators with professional examples aimed at deep learning engineers. 1. Basic Syntax of a Decorator def my_decorator(func): def wrapper(*args, **kwargs): print("Before function call") result = func(*args, **kwargs) print("After function call") return result return wrapper @my_decorator def say_hello(name): print(f"Hello, {name}!") say_hello("Alice") @my_decorator is equivalent to writing say_hello = my_decorator(say_hello) . 2. Stacking Multiple Decorators def deco1(func): def wrapper(*args, **kwargs): print("deco1") ...