LEADER 03922nam 22007215 450 001 9910767587003321 005 20240529211807.0 010 $a3-031-46270-X 024 7 $a10.1007/978-3-031-46270-2 035 $a(MiAaPQ)EBC30983291 035 $a(Au-PeEL)EBL30983291 035 $a(DE-He213)978-3-031-46270-2 035 $a(CKB)29181441600041 035 $a(EXLCZ)9929181441600041 100 $a20231201d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aExploring University Mathematics with Python /$fby Siri Chongchitnan 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (521 pages) 311 08$aPrint version: Chongchitnan, Siri Exploring University Mathematics with Python Cham : Springer,c2024 9783031462696 327 $a1 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. 330 $aThis 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. 606 $aComputer software 606 $aPython (Computer program language) 606 $aAlgebras, Linear 606 $aMathematical analysis 606 $aProbabilities 606 $aMathematical Software 606 $aPython 606 $aLinear Algebra 606 $aAnalysis 606 $aProbability Theory 606 $aPython (Llenguatge de programació)$2thub 606 $aProbabilitats$2thub 606 $aÀlgebra lineal$2thub 608 $aLlibres electrònics$2thub 615 0$aComputer software. 615 0$aPython (Computer program language). 615 0$aAlgebras, Linear. 615 0$aMathematical analysis. 615 0$aProbabilities. 615 14$aMathematical Software. 615 24$aPython. 615 24$aLinear Algebra. 615 24$aAnalysis. 615 24$aProbability Theory. 615 7$aPython (Llenguatge de programació) 615 7$aProbabilitats 615 7$aÀlgebra lineal 676 $a510.285 700 $aChongchitnan$b Siri$01453269 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910767587003321 996 $aExploring University Mathematics with Python$93655858 997 $aUNINA