Free, code-first linear algebra book using Python, NumPy, SciPy, and Jupyter notebooks, built around real problems like PageRank, GPS tracking, and circuit analysis.
Key Takeaways
Each chapter solves a concrete problem: museum traffic models PageRank, billiards collisions teach projection, electrical circuits demonstrate LU decomposition.
Chapters run directly on Google Colab; readers get live feedback without local setup.
Covers QR decomposition, null space, rank analysis, block matrices, and least squares regression using real GSS survey data.
Targets readers who struggled with formal math instruction; theory is introduced after application, not before.
Released under Creative Commons for free use with attribution, no commercial restriction workaround needed.
