Springer Symbolic Mathematics with Python Book

Master the fundamentals of computer symbolic computation with this specialized text from Springer. Part of the Synthesis Lectures on Mathematics and Statistics series, this book offers a hands-on approach to using Python for exact mathematical results. Unlike numerical approximations, this guide focuses on algorithms that provide precise answers through computer programming. The text begins with Python essentials and number theory before moving into more advanced topics. You will learn how to simplify and evaluate expressions involving multivariate rational functions and find exact solutions for systems of linear equations. It also covers practical applications of polynomial algebra and provides programs for symbolic differentiation and integration. This book is designed for those looking to bridge the gap between mathematical theory and computer implementation. By using Python's elementary commands, you can explore the world of symbolic computer mathematics and build a strong foundation in algorithmic computation.