'… a practical introduction, pushing the theory as far in the background as possible.' The European Mathematical Society (euro-math-soc.eu)
'This book is nicely focused on the most frequently encountered types of numerical problems that scientists and engineers usually face and the most common and robust algorithms for solving them. The text is just the right size for a semester-long course for upper-division undergraduates or first-year graduate students … this is a well-written text that is logically organized, attractively presented, and supported with challenging problems.' Anthony J. Duben, Computing Reviews
Provides an introduction to numerical methods for students in engineering courses. This book covers the solution of equations, interpolation and data fitting, solution of differential equations, eigenvalue problems and optimisation. The algorithms are implemented in Python 3, a high-level programming language that rivals MATLAB® in readability and ease of use.