Mastering Python Decorators: Beyond the Basics
But among all of the most interesting features in Python, decorators give you the possibility of enhancing existing functions without touching them and changing their structure. If you used @staticmethod or @property, then you already use decorators, but what if we go deeper? Advanced concepts of decorators-such as nested decorators-and some practical usages like caching, retry mechanisms, and time tracking-are discussed in this article. Let’s unleash the real power of Python decorators!
Power of Nested Decorators
You can stack multiple functionalities one on top of another. Suppose you want a function to have logging, timing, and authentication checks. Rather than writing each piece of logic into the function, you can wrap them using multiple decorators.
Here, the process_data function is first wrapped by the timing_decorator followed by the wrapping with logging_decorator. That gives you both functionalities without touching the core of the function itself. This helps keep your code cleaner and makes adding new behaviors easy.
