Exploring university mathematics with Python / Siri Chongchitnan.
2023
QA37.3
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Unlimited
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Authorized users
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Can lend chapters, not whole ebooks
Details
Title
Exploring university mathematics with Python / Siri Chongchitnan.
Author
ISBN
9783031462702 (electronic bk.)
303146270X (electronic bk.)
9783031462696
3031462696
303146270X (electronic bk.)
9783031462696
3031462696
Published
Cham : Springer, [2023]
Copyright
©2023
Language
English
Description
1 online resource (xiii, 514 pages) : illustrations (chiefly color)
Item Number
10.1007/978-3-031-46270-2 doi
Call Number
QA37.3
Dewey Decimal Classification
510
Summary
This book provides a unique tour of university mathematics with the help of Python. Written in the spirit of mathematical exploration and investigation, the book enables students to utilise Python to enrich their understanding of mathematics through: Calculation: performing complex calculations and numerical simulations instantly Visualisation: demonstrating key theorems with graphs, interactive plots and animations Extension: using numerical findings as inspiration for making deeper, more general conjectures. This book is for all learners of mathematics, with the primary audience being mathematics undergraduates who are curious to see how Python can enhance their understanding of core university material. The topics chosen represent a mathematical overview of what students typically study in the first and second years at university, namely analysis, calculus, vector calculus and geometry, differential equations and dynamical systems, linear algebra, abstract algebra and number theory, probability and statistics. As such, it can also serve as a preview of university mathematics for high-school students. The prerequisites for reading the book are a familiarity with standard A-Level mathematics (or equivalent senior high-school curricula) and a willingness to learn programming. For mathematics lecturers and teachers, this book is a useful resource on how Python can be seamlessly incorporated into the mathematics syllabus, assuming only basic knowledge of programming.
Bibliography, etc. Note
Includes bibliographical references and index.
Access Note
Access limited to authorized users.
Source of Description
Online resource; title from PDF title page (SpringerLink, viewed December 8, 2023).
Available in Other Form
Print version: 9783031462696
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Table of Contents
1 Analysis
2 Calculus
3 Vector Calculus and Geometry
4 Differential Equations and Dynamical Systems
5 Linear Algebra
6 Abstract Algebra and Number Theory
7 Probability
8 Statistics
Appendix A: Python 101.
2 Calculus
3 Vector Calculus and Geometry
4 Differential Equations and Dynamical Systems
5 Linear Algebra
6 Abstract Algebra and Number Theory
7 Probability
8 Statistics
Appendix A: Python 101.