Decorators in Python Explained

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Django & Flask Frameworks Decorators in Python Explained

In Python, decorators are a powerful tool that allow you to modify or enhance the behavior of functions or classes without changing their actual code. They are commonly used in scenarios like logging, authentication, performance timing, and access control.

At its core, a decorator is a function that takes another function as an argument, adds some functionality, and returns a new function.

Here’s a simple example:

python

def my_decorator(func):

    def wrapper():

        print("Something is happening before the function is called.")

        func()

        print("Something is happening after the function is called.")

    return wrapper

@my_decorator

def say_hello():

    print("Hello!")

say_hello()

Output:

pgsql

Something is happening before the function is called.

Hello!

Something is happening after the function is called.

In this example, @my_decorator is syntactic sugar for say_hello = my_decorator(say_hello). It wraps the original say_hello function with added behavior.

Decorators can also take arguments by nesting them inside another function. Python’s standard library includes decorators like @staticmethod, @classmethod, and @property.

They’re frequently used in frameworks like Flask or Django to define routes or control access. For example, in Flask:

python

@app.route('/')

def home():

    return "Welcome!"

In short, decorators promote code reusability, readability, and separation of concerns, making your Python programs more modular and maintainable. Once you grasp the concept, they become a valuable part of your Python toolkit.

Frontend Technologies (HTML, CSS, JavaScript, React)

Database Integration (MySQL, MongoDB)

RESTful API Development

DevOps Basics & Deployment

This well-structured program ensures that students are trained to become job-ready Full Stack Python Developers.

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