This tutorial provides a useful overview of caching in Python using functools.lru_cache() and how to apply it to various situations, including cases where you don't own the client code or don't want to write a wrapper class.
The article also addresses potential issues with decorating methods and offers solutions such as decorating bound methods or using object proxies. Finally, it provides a clever solution for caching a few methods in place by monkey patching the instance.
This is a useful resource for anyone looking to implement caching in Python.
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