The numpy.linalg module: svd, eig, qr, det, inv, and solve, with focus on when not to use explicit inverses. We discuss condition numbers at a high level, numerical stability, and when Cholesky or lstsq is the right tool. The lesson connects the dots between textbook linear algebra and code you can run in NumPy for small-to-medium systems.
