| 書目名稱 | Physics with Excel and Python | | 副標(biāo)題 | Using the Same Data | | 編輯 | Dieter Mergel | | 視頻video | http://file.papertrans.cn/748/747296/747296.mp4 | | 概述 | Combines physics, math and programming.Exemplary topics include electromagnetism, statistical mechanics and quantum mechanics.Additional multimedia content accessible in browser | | 圖書封面 |  | | 描述 | 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 a | | 出版日期 | Textbook 2022 | | 關(guān)鍵詞 | Excel Visual Basic programming; microsoft excel visual basic tutorial; excel visual basic physics prob | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-82325-2 | | isbn_softcover | 978-3-030-82324-5 | | isbn_ebook | 978-3-030-82325-2 | | copyright | Springer Nature Switzerland AG 2022 |
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