Algebra and Geometry with Python 1st ed. 2021 Edition

Algebra and Geometry with Python 1st ed. 2021 Edition book cover

Algebra and Geometry with Python 1st ed. 2021 Edition

Author(s): Sergei Kurgalin (Author), Sergei Borzunov (Author)

  • Publisher: Springer
  • Publication Date: 19 Jan. 2022
  • Edition: 1st ed. 2021
  • Language: English
  • Print length: 441 pages
  • ISBN-10: 303061543X
  • ISBN-13: 9783030615437

Book Description

This book teaches algebra and geometry. The authors dedicate chapters to the key issues of matrices, linear equations, matrix algorithms, vector spaces, lines, planes, second-order curves, and elliptic curves.

The text is supported throughout with problems, and the authors have included source code in Python in the book. The book is suitable for advanced undergraduate and graduate students in computer science.

Editorial Reviews

Review

“This is an introduction to elementary linear algebra and analytical geometry with some code snippets and references to performing computations in Python – suitable for a first-year course for STEM students. … Each chapter starts with the text developing the material, with concrete examples and worked calculations. … The book also includes three appendices: very bare-bones intro to Python, a trigonometry cheat sheet, and the Greek alphabet.” (Mikael Vejdemo-Johansson, SIGACT News, Vol. 55 (1), 2024)

“It is most interesting to combine a classical mathematical topic with a new evolving programming language and exactly this is obtained by this book. … This material is used as a case study for their implementation for solving problems in theoretical and practical cryptography. The ‘roadmap’ of the content of this also quite interesting.” (Panayiotis Vlamos, zbMATH 1480.00002, 2022)

From the Back Cover

This book teaches algebra and geometry. The authors dedicate chapters to the key issues of matrices, linear equations, matrix algorithms, vector spaces, lines, planes, second-order curves, and elliptic curves.

The text is supported throughout with problems, and the authors have included source code in Python in the book. The book is suitable for graduate students and advanced undergraduate students in computer science.

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