More Advanced Decorators
Explore advanced techniques for Python decorators, including how to pass parameters to them using nested functions or callable classes. Learn to write cleaner, more reusable code by separating concerns and controlling behavior with customizable decorators.
We'll cover the following...
With the introduction we've just had, we now know the basics of decorators: what they are and their syntax and semantics. Now we're interested in more advanced uses of decorators that will help us structure our code more cleanly.
We'll see that we can use decorators to separate concerns into smaller functions, and reuse code, but in order to so do effectively, we'd like to parametrize the decorators (otherwise, we'll end up repeating code). For this, we'll explore different options on how to pass arguments to decorators.
Passing arguments to decorators
At this point, we already regard decorators as a powerful tool in Python. However, they would be even more powerful if we could just pass parameters to them so that their logic is abstracted even more.
There are several ways of implementing decorators that can take arguments, but we'll go over the most common ones. The first one is to create decorators as nested functions with a new level of indirection, making everything in the decorator fall one level deeper. The second ...