YouTube Excerpt: Sign up for 1-on-1 coaching at https://dougmercer.dev ————————————————————————————————————————— Python has a bit of a reputation -- fast to write, but slow to run. In this video, we focus on a simple to understand dynamic programming problem that would be terribly slow in native Python or numpy. We show that Python can achieve (and actually exceed) C++ level performance with the help of just-in-time and ahead-of-time compilers such as mypyc, Cython, numba, and taichi. Also, I finally got a camera, so, uh... face reveal, I guess. #python Chapters --------------- 00:00 Intro 01:07 The Problem 02:38 numpy 03:08 mypyc 04:08 cython 06:46 numba 07:58 taichi 09:47 Results 11:48 Final Thoughts
Sign up for 1-on-1 coaching at https://dougmercer.dev ————————————————————————————————————————— Python has a bit of a reputation -- fast to write,...
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