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Springer Symbolic Mathematics with Python - Springer Synthesis Lecture

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Description

Learn symbolic mathematics through practical Python programming with this comprehensive guide from Springer. This book teaches you how to implement algorithms that deliver exact computational results rather than numerical approximations, starting with Python essentials and number theory foundations. You will master simplification and evaluation of multivariate rational function expressions, solve systems of linear equations exactly, and explore applications of polynomial algebra. The hands-on approach covers symbolic differentiation and advanced computational techniques, making complex mathematical concepts accessible through elementary Python commands. Perfect for students and professionals seeking to bridge mathematics and computer science through practical programming examples.

Key Features

Covers Python essentials and number theory as foundational concepts for symbolic mathematics.

Teaches exact solutions for systems of linear equations using symbolic computation methods.

Includes practical applications of polynomial algebra implemented through Python programs.

Demonstrates symbolic differentiation techniques with detailed code examples and explanations.

Focuses on multivariate rational function simplification and evaluation for real-world problems.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
01 August 2025
Listed Since
13 March 2025

Barcode

No barcode data available

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