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A decorator in Python is a design pattern that allows you to extend or modify the behavior of functions or methods without changing their actual code. Decorators are a concise and powerful way to wrap a function with additional functionality. They are often used for tasks such as logging, validation, memoization, and more.
In Python, decorators are denoted by the @decorator_name
syntax. Here's a simple example:
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()
my_decorator
is a function that takes another function (func
) as its argument.- Inside
my_decorator
, there's a nested function calledwrapper
that adds some functionality before and after calling the original function (func
). - The
@my_decorator
syntax is a shorthand way of sayingsay_hello = my_decorator(say_hello)
. It decorates thesay_hello
function with the behavior defined inmy_decorator
. - When you call
say_hello()
, it actually calls thewrapper
function, which, in turn, calls the…