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In this video I introduce Numba which can make your python code 1000x faster. Numba 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 show how to use Numba in a real world-ish simulation problem and shows the code running 1000x faster with Numba in both single and multithreaded cases, and concludes with a "reading list" for learning more about Numba. Twitter: / safijari Find the notebook here: https://gist.github.com/safijari/fa4e... MY OTHER VIDOES: ○ A.I. Learns to play Snake • Neural Network Learns to Play Snake u... ○ 5 Common Python Mistakes: • 5 Things You're Doing Wrong When Prog... ○ 5 Amazing Python Libraries: • Five Amazing Python Libraries you sho... ○ Making Python fast: • Can VSCode be a reasonable Spacemacs ... ○ Learning programming language Julia: • How to learn Julia, a new programming... Deeper topics to discover here https://numba.pydata.org/numba-doc/de... Supported python and numpy features https://numba.pydata.org/numba-doc/de... https://numba.pydata.org/numba-doc/de... Important differences from python https://numba.pydata.org/numba-doc/de... Defining types to compile at definition time: http://numba.pydata.org/numba-doc/lat... Function factories https://numba.pydata.org/numba-doc/de... Experimental version of jitted classes https://numba.pydata.org/numba-doc/de... Debugging https://numba.pydata.org/numba-doc/de... Dealing with types https://numba.pydata.org/numba-doc/de... Ahead of time compilation for deployment https://numba.pydata.org/numba-doc/de... Using approximate fastmath https://numba.pydata.org/numba-doc/de... Deeper control of threading via tbb and/or omp https://numba.pydata.org/numba-doc/de... Easily put your computation on a GPU! https://numba.pydata.org/numba-doc/de... https://numba.pydata.org/numba-doc/de... F.A.Qs https://numba.pydata.org/numba-doc/de... #numba #programming #python