// the find
Visualize-ML/Book4_Power-of-Matrix
Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！
This is the code and PDF companion to 《矩阵力量》 (Power of Matrix), a Chinese-language linear algebra textbook that's part of a larger series bridging basic math to machine learning. It's organized chapter-by-chapter (25 chapters, vectors through eigendecomposition, SVD, projections, and ML applications), each with a PDF excerpt and matching Jupyter notebooks or Streamlit demos. It's for Chinese-speaking students or self-learners who want to see linear algebra concepts visualized and manipulated interactively rather than just proved on paper.
Coverage is genuinely complete for an undergraduate linear algebra course, running from basic vector ops through matrix decomposition, SVD, quadratic forms, and into data/statistics applications. Several chapters ship Streamlit apps (not just static notebooks) so you can drag sliders and watch geometric transformations or projections update live. Code is mapped 1:1 to book sections (Bk4_ChXX_YY.ipynb), so it's trivial to find the exact notebook for what you're reading. The visualizations are dense and geometric rather than the generic 'plot a parabola' filler common in math repos.
Everything — README, PDFs, and presumably notebook prose — is in Chinese only, so it's a non-starter if you don't read the language. There's no requirements.txt or environment file anywhere in the tree, so you're guessing at numpy/matplotlib/streamlit/scipy versions before anything runs. It's a stack of standalone teaching notebooks, not a library: no installable package, no shared utility module, no tests, so code from one chapter doesn't compose with another. No LICENSE file is visible, and the repo bundles copyrighted PDF chapter excerpts directly alongside the code, which makes the actual reuse terms unclear.