Originally published byDev.to
I spent months building the NumPy course I wish existed when I was learning.
**393 cells. 18 chapters. Zero to GPT in pure NumPy.
One interactive notebook that takes you from "what is an array?" to implementing neural networks, transformers, and GPT from scratch — no frameworks, no hand-waving. Includes 11 bonus deep-dives, a real research paper reproduction, and portfolio-ready projects with interview talking points.**
Free preview (Ch1-2) on GitHub — run it in Colab, no install needed.
Full course on Gumroad — pay what you want, starting at $9.
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