Курсы хуюрсы

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————————————————————————————————————————— 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

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Algorithm: Winner in Tic-Tac-Toe - In Rust!

This is a video of a talk I did in August 2023, aiming to teach the concepts described in my blog post at

in a different format, with greater and more concrete detail. The small sample program—along with many other projects and examples, all built using arenas as the core memory management primitive—is included in the Hidden Grove codebase, which is available to paid subscribers at

which is where I primarily post content these days.

Project IDX is an entirely web-based workspace for full-stack application development, complete with the latest generative AI from Gemini, and full-fidelity app previews, powered by cloud emulators.

The source code and demos are available here:

greedy meshing algorithm is available here:

Code: