Dynamic Functionality with Decorators
In this article, I will introduce the concept of decorators and explain how they can be used to solve real-world problems in a concise and efficient manner. Whether you’re a beginner or an experienced Python programmer, you’ll find something new and useful in this article. From timing functions and debugging to enforcing access restrictions and decorating classes, we’ll explore the basics of decorators and how to use them in practical examples.
Decorators are a special type of function in Python that are used to modify or extend the behavior of other functions or classes. They allow developers to add additional functionality to existing code, without having to make any changes to the underlying code.
Decorators are applied to a function or class by using the “@” symbol followed by the decorator name. They provide a way to wrap a function or class in another function, which can then modify its behavior in some way.
Decorators are commonly used for tasks such as logging, timing, and enforcing access restrictions. They can also be used to add new methods or properties to classes, making it easier to reuse code. Overall, decorators are a powerful tool in Python that can be used to write more elegant, efficient, and reusable code.
Types of Decorators
There are two types of decorators in Python:
These decorators are used to modify the behavior of a function. They take a function as input, modify its behavior, and return the modified function. Function decorators are commonly used for tasks such as logging, timing, and enforcing access restrictions.
These decorators are used to modify the behavior of a class. They take a class as input, modify its behavior, and return the modified class. Class decorators can be used to add new methods…