Think Linear Algebra — Think Linear Algebra

Think Linear Algebra is a freely licensed, code-first book for learning applied linear algebra.

It teaches concepts through Python, Jupyter notebooks, and real-world case studies like web traffic, GPS, graphics, circuits, and chemistry.

The book uses tools such as NumPy, SciPy, SymPy, and NetworkX to make core ideas concrete.

It covers topics including matrices, vector spaces, PageRank, eigenvectors, LU decomposition, and null space.

The hands-on approach is aimed at learners in machine learning, scientific computing, engineering, and graphics.