In this video I introduce the absolute minimum you need to know about Numba which is a just in time compiler for a subset of Python and Numpy. The first half of the video is dedicated to a basic intro and to highlighting a number of very common mistakes people make when using Numba. The remaining video presents a real world-ish simulation problem, shows up to a 1000x acceleration with Numba in both single and multithreaded cases, and concludes with a "reading list" for learning more about Numba.
Channel github: https://github.com/safijari/jack-of-some/projects/1
Find the notebook here: https://gist.github.com/safijari/fa4eba922cea19b3bc6a693fe2a97af7
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