Laboratory Works in Computational Mathematics

Want to learn how to solve computational problems in Python but don't know where to start? This practical guide is your ready-to-use action plan. Eight lab assignments will take you step by step through all the key topics of computational mathematics: function evaluation and error estimation, matrix operations, solving systems of linear and nonlinear equations, interpolation and approximation, numerical differentiation and integration, solving ordinary differential equations, and QR decomposition with orthogonalization. Each lab includes fully working code with detailed comments, a line-by-line breakdown, 20 variant assignments, and review questions. All you need is to install Python and get started. Ideal for students, beginner programmers, and anyone who wants to master numerical methods in practice.