001452211 000__ 03795cam\a2200529\i\4500 001452211 001__ 1452211 001452211 003__ OCoLC 001452211 005__ 20230310003345.0 001452211 006__ m\\\\\o\\d\\\\\\\\ 001452211 007__ cr\un\nnnunnun 001452211 008__ 230117s2022\\\\sz\a\\\\o\\\\\001\0\eng\d 001452211 019__ $$a1357015792 001452211 020__ $$a9783030823252$$q(electronic bk.) 001452211 020__ $$a3030823253$$q(electronic bk.) 001452211 020__ $$z9783030823245 001452211 0247_ $$a10.1007/978-3-030-82325-2$$2doi 001452211 035__ $$aSP(OCoLC)1360429642 001452211 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dOCLCQ 001452211 0411_ $$aeng$$hger 001452211 049__ $$aISEA 001452211 050_4 $$aQC52 001452211 08204 $$a530.0285$$223/eng/20230117 001452211 1001_ $$aMergel, Dieter,$$eauthor. 001452211 24010 $$aPhysik mit Excel und Visual Basic.$$lEnglish 001452211 24510 $$aPhysics with Excel and Python :$$busing the same data structure.$$nVolume I,$$pBasics, exercises and tasks /$$cDieter Mergel. 001452211 24630 $$aBasics, exercises and tasks 001452211 264_1 $$aCham :$$bSpringer,$$c2022. 001452211 300__ $$a1 online resource (xvii, 482 pages) :$$billustrations (some color) 001452211 336__ $$atext$$btxt$$2rdacontent 001452211 337__ $$acomputer$$bc$$2rdamedia 001452211 338__ $$aonline resource$$bcr$$2rdacarrier 001452211 500__ $$aIncludes index. 001452211 5050_ $$a1 Introduction: What do you need, what do you learn -- 2 Sets of curves -- 3 Networks of formulas -- 4 Macros -- 5 Basic mathematical techniques -- 6 Superposition of motions -- 7 Random numbers and random number generators -- 8 Evaluation of measurements -- 9 Trend curves -- 10 Integration of Newton's equation of motion. 001452211 506__ $$aAccess limited to authorized users. 001452211 520__ $$aThis book is intended to serve as a basic introduction to scientific computing by treating problems from various areas of physics - mechanics, optics, acoustics, and statistical reasoning in the context of the evaluation of measurements. After working through these examples, students are able to independently work on physical problems that they encounter during their studies. For every exercise, the author introduces the physical problem together with a data structure that serves as an interface to programming in Excel and Python. When a solution is achieved in one application, it can easily be translated into the other one and presumably any other platform for scientific computing. This is possible because the basic techniques of vector and matrix calculation and array broadcasting are also achieved with spreadsheet techniques, and logical queries and for-loops operate on spreadsheets from simple Visual Basic macros. So, starting to learn scientific calculation with Excel, e.g., at High School, is a targeted road to scientific computing. The primary target groups of this book are students with a major or minor subject in physics, who have interest in computational techniques and at the same time want to deepen their knowledge of physics. Math, physics and computer science teachers and Teacher Education students will also find a companion in this book to help them integrate computer techniques into their lessons. Even professional physicists who want to venture into Scientific Computing may appreciate this book. 001452211 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed January 17, 2023). 001452211 63000 $$aMicrosoft Excel (Computer file) 001452211 650_0 $$aPhysics$$xData processing. 001452211 650_0 $$aPython (Computer program language) 001452211 655_0 $$aElectronic books. 001452211 77608 $$iPrint version:$$aMergel, Dieter$$tPhysics with Excel and Python$$dCham : Springer International Publishing AG,c2023$$z9783030823245 001452211 852__ $$bebk 001452211 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-82325-2$$zOnline Access$$91397441.1 001452211 909CO $$ooai:library.usi.edu:1452211$$pGLOBAL_SET 001452211 980__ $$aBIB 001452211 980__ $$aEBOOK 001452211 982__ $$aEbook 001452211 983__ $$aOnline 001452211 994__ $$a92$$bISE