Python 3 Decorators: Enhancing Functions with Magic
Decorators in Python are a powerful tool that allows you to modify or extend the behavior of functions and classes without changing their source code. Think of them as "special wrappers" that add functionality to existing code.
📌 Key Concepts
- Syntax: Use
@decorator
above a function definition - Purpose: Add features like logging, access control, or caching
- Flexibility: Can be applied to functions, methods, and classes
🧠 Example Usage
def my_decorator(func):
def wrapper():
print("Before function call")
func()
print("After function call")
return wrapper
@my_decorator
def say_hello():
print("Hello!")
say_hello()
🚀 Practical Applications
- Adding authentication to APIs
- Implementing rate limiting
- Creating reusable logging systems
Want to dive deeper? Check out our Python 3 Functions Guide for foundational knowledge before exploring decorators.