About the Book: This textbook introduces advanced undergraduates and early graduate students to numerical analysis, focusing on designing, analyzing, and implementing algorithms for problems in science and engineering. Topics include error analysis, linear systems, least squares, eigenvalues, nonlinear equations, optimization, interpolation, differentiation, integration, and ODEs/PDEs, with Python-based implementation examples.