Python Decorators: Understanding the Magic
Master Python decorators - one of the most powerful features. Learn how they work, when to use them, and build your own decorators. Once you understand decorators, Python becomes way more powerful.
Decorators are one of those Python features that seem magical at first, but once you understand them, they become incredibly useful. They let you modify or extend functions without changing their code.
What Are Decorators?
Think of decorators as wrappers around your functions. They take a function, do something with it (like add timing, logging, or validation), and return a new function. The cool part? You use them with a simple @ symbol.
How They Work
Decorators are just functions that take other functions as arguments. Once you understand this, everything clicks. I'll show you step by step how Python processes decorators.
Common Use Cases
You'll see decorators everywhere - timing functions, logging, authentication, caching. I'll show you practical examples that you'll actually use in real projects.
Building Your Own
Once you understand how decorators work, building your own is easy. I'll show you how to create decorators that add useful functionality to your functions.