This repository contains a two-volume course on linear algebra with 66 topics, using Python for computations and visualization to teach mathematical concepts. It covers foundational topics relevant to machine learning and data science. The content is presented as Jupyter notebooks, allowing learners to run code interactively while studying mathematical concepts like matrices, vectors, transformations, and eigenvalues.