Python decorators are a powerful tool that can help you write more concise, modular, and maintainable code. They allow you to modify the behavior of a function without changing its source code.
In this article, we’ll explore the syntax and practical applications of decorators, so you can start using them effectively in your Python projects.
Understanding Decorator Syntax
At its core, a decorator is a function that takes another function as input, adds some functionality to it, and returns a new function. The syntax for defining a decorator looks like this:
def decorator_function(func):
def wrapper(*args, **kwargs):
# Add functionality before the original function is called
result = func(*args, **kwargs)
# Add functionality after the original function is called
return result
return wrapper
@decorator_function
def my_function(arg1, arg2):
# Function logic goes here
return result
In this example, decorator_function
is the decorator, and my_function
is the function being decorated. The @decorator_function
syntax is a shorthand way of applying the decorator to the function…