Влад Тен

https://miketuritzin.com/post/how-to-learn-computer-graphics-techniques-and-programming/

https://github.com/rmcelreath/stat_rethinking_2026?tab=readme-ov-file#calendar--topical-outline

https://www.youtube.com/@OnurMutluLectures/courses

https://www.cs.cornell.edu/courses/cs6120/2025fa/self-guided/ https://www.cs.cornell.edu/courses/cs4120/2026sp/notes/

Introduction to Applied Linear Algebra https://web.stanford.edu/~boyd/vmls/

Linear Algebra: Foundations to Frontiers (LAFF) LAFF-On Programming for Correctness (LAFF-On) LAFF-On Programming for High Performance (LAFF-On-PfHP) Advanced Linear Algebra: Foundations to Frontiers http://ulaff.net

https://diffusion.csail.mit.edu/2026/index.html

If you’re working with Go and care about performance, then check out the https://goperf.dev/ Here you can find not theoretical, but practical patterns applicable to memory issues, concurrency, and overall, real bottlenecks you hit in production. The guide has been recently updated with more depth (atomics, concurrency trade-offs, etc.), so worth revisiting even if you’ve seen it before. Solid reference to keep bookmarked. Enjoy!

https://r2d3.us/visual-intro-to-machine-learning-part-2/

https://music.ishkur.com https://www.whosampled.com/Baby-Keem/Good-Flirts/ https://learningmusic.ableton.com https://learningsynths.ableton.com