I challenged myself to complete the full NumPy course in just 2 days — focusing on deep understanding and practical application. This repository contains all my notes, practice code, and examples.

A complete, verified-correct GPT-2 implementation in pure NumPy — autograd engine, layers, model, optimizer and training loop — with no PyTorch, no JAX, no autograd library in the model itself.

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The move pushes MathWorks into a world historically dominated by open-source developer tooling and AI-native workflows.

For a course catalog and more information, check out the academic bulletins. If you are having trouble finding information about a specific course, the current academic bulletins can help. The ...