Chongchitnan

Exploring University Mathematics with Python

Springer

ISBN 978-3-031-46269-6

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80,24 €

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Bibliografische Daten

Fachbuch

Buch. Hardcover

2023

13 s/w-Abbildungen, 140 Farbabbildungen.

In englischer Sprache

Umfang: xvii, 510 S.

Format (B x L): 16,8 x 24 cm

Gewicht: 1223

Verlag: Springer

ISBN: 978-3-031-46269-6

Produktbeschreibung

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.

Autorinnen und Autoren

Kundeninformationen

Dive into university-level math effortlessly using Python, even with minimal programming experience Visualize, simulate, and animate complex math theorems with carefully annotated Python code Enhance mathematical learning through hands-on exercises and code modifications

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