{"id":57512,"date":"2024-11-19T20:00:00","date_gmt":"2024-11-20T01:00:00","guid":{"rendered":"https:\/\/codesamplez.com\/?p=57512"},"modified":"2025-06-01T13:35:53","modified_gmt":"2025-06-01T17:35:53","slug":"python-decorators","status":"publish","type":"post","link":"https:\/\/codesamplez.com\/programming\/python-decorators","title":{"rendered":"Python Decorators Tutorial: Examples, Use Cases & Best Practices"},"content":{"rendered":"\n

Python decorators<\/strong> let you modify a function\u2019s behavior without changing its code. For example, you can just use @decorator<\/code> syntax to add logging or timing to any function. <\/p>\n\n\n\n

In this tutorial, you\u2019ll learn how decorators work, see some real-world code examples and know about some best practices to follow. If you\u2019re new to decorators, buckle up; by the end of reading this article, you can use them like a pro.<\/p>\n\n\n\n

Tip\ud83d\udca1: Explore more advanced topics in Python<\/a> like this.<\/p>\n\n\n\n

What Are Decorators in Python?<\/h2>\n\n\n\n

Think of decorators as fancy gift wrappers for your functions. They allow you to take an existing function and extend its behaviour<\/strong> without modifying its source code. It’s like adding superpowers to your functions on demand!<\/p>\n\n\n\n

In Python terms, decorators are just functions that modify other functions. They’re like powerful middleware that can execute code before and after the wrapped function runs. At a high level, decorators follow the\u00a0decorator design pattern<\/strong>: they take a function, add some behaviour, and then return it. <\/p>\n\n\n\n

In Python, they\u2019re compelling because functions are first-class citizens, meaning you can pass them around and manipulate them like any other object.<\/p>\n\n\n\n

Your First Decorator: Baby Step<\/h2>\n\n\n\n

Let’s start with something straightforward:<\/p>\n\n\n

def my_first_decorator(func):\n    def wrapper():\n        print<\/span>(\"Something is happening before the function\"<\/span>)\n        func()\n        print<\/span>(\"Something is happening after the function\"<\/span>)\n    return<\/span> wrapper\n\n@my_first_decorator\ndef say_hello():\n    print<\/span>(\"Hello!\"<\/span>)\n\n# When we call say_hello()...<\/span>\nsay_hello()\n# Output:<\/span>\n# Something is happening before the function<\/span>\n# Hello!<\/span>\n# Something is happening after the function<\/span><\/code><\/span>Code language:<\/span> PHP<\/span> (<\/span>php<\/span>)<\/span><\/small><\/pre>\n\n\n
\ud83d\udca1\u00a0The\u00a0@<\/code>\u00a0syntax is just syntactic sugar! It’s the same as writing:\u00a0say_hello = my_first_decorator(say_hello)<\/code><\/p>\n\n\n\n
The Anatomy of a Python Decorator<\/h2>\n\n\n\n
Let’s break down the previous example and dive into step by step what’s happening:<\/p>\n\n\n\n
    \n
  1. We define a function (my_first_decorator<\/code>) that takes another function as an argument.<\/li>\n\n\n\n
  2. Inside, we define a new function (wrapper<\/code>) that calls the original function and modifies its result.<\/li>\n\n\n\n
  3. We return this new wrapper<\/code> function.<\/li>\n\n\n\n
  4. When we use the\u00a0@my_first_decorator<\/code>\u00a0Syntax, Python essentially does this behind the scenes:<\/li>\n<\/ol>\n\n\n\n
    \"Python<\/figure>\n\n\n\n
    Core Decorator Types<\/h2>\n\n\n\n
    Function Decorators<\/h3>\n\n\n\n
    These are the most common type of decorators. They are used to modify or enhance functions or methods.<\/sup> A function decorator is a higher-order function that takes a function as an argument and returns a new function (or a modified version of the original).<\/sup><\/p>\n\n\n\n
    Key Characteristics<\/h4>\n\n\n\n