lru_cache basics To memoize a function in Python, we can use a utility supplied in Python’s standard library—the functools.lru_cache decorator. lru_cache isn’t hard to use.

This is the output when run: $ python decorator_test.py Function calculate_squares being called at 2018-08-23 12:39:02.112904 Took 2.5019338130950928 seconds Dealing with parameters ...

Why is your Python app so slow? Find out by using Python’s built-in profiler to locate bottlenecks in your Python code ...

Reassessing the definition of function annotations to restrict their use to type annotations. Providing a specification for what to add to Python 3.5, which Guido suggests be reduced to a minimum.