How to profile slow code in Python

In this video we look at an interesting use case we stumbled upon the other day, a Bite submission that timed out.

We first look at which of the functions is slow using a timer decorator.

When we pinpointed the slow function we look at where exactly in this function the most time is spent / calls are made.

It becomes soon apparent that it's an expensive operation in a for loop.

Hopefully this video helps you whenever you are hit with slow code.

Used decorators are here:
https://gist.github.com/pybites/ca5136439800148f586bede9b557ecce

Also check out mentioned useful profiling context manager here:
https://docs.python.org/3/library/profile.htm #profile.Profile

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