With the help of Python decorators, you can change a function or class’s behaviour without altering the source code. In essence, decorators are functions that accept the input of another function or class and then return an altered version of that function or class.


The “@” symbol, followed by the name of the decorator function, is how decorators are identified in Python. The function or class that a decorator function decorates is often defined just before it. The decorator function is run before the original function or class is called when the decorated function or class is called, and its output is utilized in its place.


In Python, decorators have a wide range of applications. The adding of new functionality to a function or class is one of the most frequent usage cases. For better efficiency, you might want to cache the results of a function or log the beginning and ending times of a function. You can incorporate this functionality via a decorator without changing the original method or class.

The ability to alter a function or class’s behavior’s based on runtime circumstances is another application for decorators. For instance, you might want to restrict access to a given function or class to only a few users. You can alter the behavior’s of the function or class based on the user’s credentials by utilizing a decorator that examines the user’s rights.’


Decorators can be used to build reusable code components. You may, for instance, create a decorator that enhances a function’s error handling. Without having to duplicate the error handling code in each function, you can then apply this decorator to a number of functions throughout your code.


Python comes with a number of built-in decorators that alter the behaviour of class methods, including “@classmethod” and “@staticmethod.” By developing a function that accepts a function or class as an input and outputs a modified version of that function or class, you may also design your own unique decorators.


In conclusion, Python decorators are a strong feature that let you change a function or class’s behavior’s without affecting the original code. Decorators allow you to extend the functionality of your code, alter behavior’s based on runtime circumstances, and produce reusable parts. You may develop more expressive and adaptable Python code by utilizing decorators.

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