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Think Linear Algebra (2023)

Quality: 8/10 Relevance: 9/10

Summary

Think Linear Algebra presents a code-first, case-based introduction to linear algebra using Python and libraries such as NumPy, SciPy, SymPy, and NetworkX. It emphasizes real-world problems, interactive notebooks, and a hands-on approach to learning, with chapters that apply concepts to engineering, data science, graphics, and more. The material is openly licensed (Creative Commons) and available with notebooks on Colab and a GitHub source repository.

🚀 Service construit par Johan Denoyer