How do Python decorators affect performance?

How do Python decorators affect performance?

Python decorators can introduce some overhead due to the additional function calls they create. However, the impact is often minimal.

Can you give an example of a decorator that might slow down my code?

Sure! A logging decorator that logs every function call can slow down performance, especially if the function is called frequently.

Are there any performance optimization tips for using decorators?

Yes! You can use functools.wraps to preserve the original function's metadata and avoid unnecessary overhead.

What about using multiple decorators on a single function?

Using multiple decorators can compound the performance impact, so it's important to evaluate their necessity and efficiency.