Decorators are versatile tools in Python, offering a wide range of practical applications across various domains. In this article, we’ll explore real-world examples and use cases where decorators can simplify code, improve readability, and enhance functionality.
From logging and authentication to performance optimization and error handling, decorators can be invaluable additions to your programming toolbox.
1. Logging
Logging is essential for debugging and monitoring the behavior of applications. Decorators can streamline logging by automatically adding log messages to functions or methods:
def log(func):
def wrapper(*args, **kwargs):
print(f"Calling function '{func.__name__}' with args: {args}, kwargs: {kwargs}")
return func(*args, **kwargs)
return wrapper
@log
def example_function(x, y):
return x + y
result = example_function(3, 5)2. Authentication
Implementing authentication checks in web applications is crucial for controlling access to protected resources. Decorators can enforce authentication requirements on…
