This 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.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Dieter Mergel studied physics in Göttingen, obtained his doctorate at the Technical University of Clausthal in the field of solid-state physics and worked 11 years in the Philips Research Laboratories Hamburg / Aachen on automatic speech recognition and optical data storage. Since 1993 he is Professor of Technical Physics at the University of Duisburg-Essen. His professional activities include research in the field of solid-state layers and lectures for students in teaching and medical professions.
This 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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Da: Hamelyn, Madrid, M, Spagna
Condizione: Muy bueno. : Este libro, 'Physics with Excel and Python: Volume I - Basics, Exercises and Tasks', publicado en 2021 por Springer International Publishing AG, ofrece una introducción a la física utilizando Excel y Python. Escrito por Dieter Mergel, el libro está dirigido a estudiantes y profesionales que buscan aplicar estas herramientas en el campo de la física. Cubre los fundamentos, ejercicios y tareas esenciales para comprender y resolver problemas físicos con la ayuda de estas tecnologías. EAN: 9783030823245 Tipo: Libros Categoría: Ciencias|Tecnología|Educación Título: Physics with Excel and Python Autor: Dieter Mergel Idioma: en. Codice articolo Happ-2026-07-01-7d5cf952
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