Python decorators are a powerful and elegant feature that allows developers to modify or extend the behaviour of functions or methods. In this blog post, we’ll explore the concept of decorators and delve into a real-world use case to illustrate their application.
Understanding Python Decorators:
In Python, decorators are functions that wrap around other functions, enhancing or modifying their behaviour. They provide a clean and concise way to implement cross-cutting concerns such as logging, authentication, and performance monitoring.
Decorator Examples and Use cases:
Let’s start with a simple example of a decorator:
def my_decorator(func):
def wrapper():
print("Hey this is decorator starting point")
func()
print("Hey this is decorator ending point")
return wrapper
@my_decorator
def say_hello():
print("Hello!")
say_hello()
---------Output----------
Hey this is decorator starting point
Hello!
Hey this is decorator ending point
In this example, my_decorator
is a function that takes another function (func
) as its parameter and returns a new function (wrapper
). The wrapper
the function adds some behaviour before and after calling the original function. The @my_decorator
syntax is a…