Python decorators are special functions or objects that modify the behavior of other functions or methods. They allow you to add functionality to existing functions without altering their code. Decorators use the @ symbol and are placed above the function definition. Essentially, they take a function as input, add some functionality, and return the modified function.

For example, consider a simple decorator that logs the execution of a function:

def logdecorator(func):
def wrapper():
print(f"Function {func.name_} is called")
func()
return wrapper

@log_decorator
def greet():
print("Hello, World!")

greet()
In this example, log_decorator is a decorator that adds logging functionality to the greet function. When you call greet, the wrapper function logs a message before executing the original function.

Decorators are commonly used for tasks like logging, authentication, input validation, and caching. Python also provides built-in decorators like @staticmethod, @classmethod, and @property for specific use cases.

To master Python decorators and other fundamental programming concepts, enrolling in a Python course for beginners is an excellent way to build a strong foundation.