6 Python Decorators That Cleaned Up My Codebase Overnight

1. 1Import the functools module to use decorators
2. 2Define a decorator function using @wraps to preserve metadata
3. 3Apply decorators to functions to reduce boilerplate code
4. 4Use the @timer decorator to measure function execution time
5. 5Implement the @retry decorator to handle exceptions and retries
6. 6Use the @logger decorator to log function calls and errors

Software engineers and developers can benefit from using decorators to streamline their code, making it more readable and maintainable

💡 Decorators can significantly reduce boilerplate code and improve code readability

🚀 Simplify your Python codebase with 6 essential decorators! 🚀