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I used and extended this tutorial to write the rayvertex [1][2] package, which is a deferred parallel software rasterizer in R. Explicitly building the rendering pipeline really helped me understand the underlying data flow and rasterization techniques, which in turn made me understand GLSL much better. And extending the rasterizer with order-independent transparency, multicore rendering, antialiasing, and other niceties made me appreciate the work that goes into modern renderers.
Highly recommend.
[1] https://www.rayvertex.com/
Very nice. After a quick skimming of the wiki's contents, I really like the contents and step-by-by approach of all the materials shared.
Does anyone here know of some similar good quality OpenGL resources[1] for mathematical/scientific visualization[2]. Currently, I've started going through the source codes and documentation of manim-web[3] and CindyJs[4] to learn the basics; however, I would love to learn the fundamentals and be able to write my own visualization library (or confidently extending an existing one) if/when needed. Thanks in advance.
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[1] - Personally I prefer books but I don't mind any other high-quality resources something similar to the one OP has shared here.
[2] - https://github.com/topics/scientific-visualization
[3] - https://github.com/manim-web/manim-web
[4] - https://cindyjs.org/gallery/main/