Python Decorators|Transform Your Code with Just One Line|in telugu

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In Python, decorators are functions that modify or enhance the behavior of other functions or methods without changing their actual implementation. They allow you to add functionality to existing code dynamically, typically by wrapping the original function with another function.

The primary purpose of decorators is to provide a clean and concise way to extend or modify the behavior of functions or methods, without the need to modify their source code. This makes code more modular, reusable, and easier to maintain.

Here's a basic example to illustrate the concept of decorators:

```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()
```

In this example:
The `my_decorator` function is a decorator that takes another function (`func`) as its argument.
Inside the `my_decorator`, we define a nested function called `wrapper` which adds some behavior before and after calling the original function.
The `@my_decorator` syntax applies the `my_decorator` to the `say_hello` function, effectively replacing `say_hello` with the wrapped version of itself.
When we call `say_hello`, it actually calls the `wrapper` function inside `my_decorator`, which in turn calls the original `say_hello` function and adds the additional behavior.

Decorators are widely used in Python for a variety of purposes, including logging, authentication, caching, memoization, performance monitoring, and more. They are a powerful feature of the language that helps to keep code clean, concise, and easy to maintain.