| 期刊全稱(chēng) | A Primer on Scientific Programming with Python | | 影響因子2023 | Hans Petter Langtangen | | 視頻video | http://file.papertrans.cn/142/141927/141927.mp4 | | 發(fā)行地址 | Example-oriented text with all applications taken from science and engineering.Aimed at newcomers to programming and Python, but proved to be useful for professionals too.All examples are accompanied | | 學(xué)科分類(lèi) | Texts in Computational Science and Engineering | | 圖書(shū)封面 |  | | 影響因子 | .The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exposition is example and problem-oriented, where the applications are taken from mathematics, numerical calculus, statistics, physics, biology and finance. The book teaches "Matlab-style" and procedural programming as well as object-oriented programming. High school mathematics is a required background and it is advantageous to study classical and numerical one-variable calculus in parallel with reading this book. Besides learning how to program computers, the reader will also learn how to solve mathematical problems, arising in various branches of science and engineering, with the aid of numerical methods and programming. By blending programming, mathematics and scientific applications, the book lays a solid foundation for practicing computational science..From the reviews: .Langtangen … does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the obj | | Pindex | Textbook 20144th edition |
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