Decorators in Python are a prime-time example of a perfectly implemented feature. It does take a while to wrap your head around, but it’s worth it.

Python作为一门简洁、易读且功能强大的编程语言，广泛应用于数据分析、Web开发、自动化脚本等领域。然而，许多开发者在日常编码中可能并未充分利用Python提供的高级特性和实用技巧，导致代码冗长、效率低下。本文将介绍10个Python开发中必学的实用技巧，帮助开发者提升代码质量、提高开发效率。

大家好，我是程序员晚枫，学习网站：www.python-office.com，专注于AI、Python自动化办公。[1]1. 概念与原理Python元编程是指在运行时动态地修改或扩展类、函数或对象的行为。它允许开发者在代码执行期间操作代码本身，从而实现更灵活和强大的编程模式。元编程的核心技术包括__metaclass__、装饰器和描述符。1.1 ...

Summary Decorators are a great way to make your codebase more flexible and easy to maintain. They provide a simple way to do runtime validation on functions and are handy for debugging as well.

Whereas, by default Python consider 1 as a step. 9 – What are Python decorators? Python decorator is a feature that is used to enhance the functionality of an existing function or a class.

Take advantage of caching and the lru_cache decorator to relieve your Python functions from repetitive heavy lifting.