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 ...

In Python, the mere act of making a function call incurs a relatively large amount of overhead. If some function is called repeatedly in a tight loop, even if it isn’t a long-running function ...

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.