---

＜電子ブック＞
A Primer on Scientific Programming with Python / by Hans Petter Langtangen
(Texts in Computational Science and Engineering. ISSN:2197179X ; 6)

版	2nd ed. 2011.
出版者	(Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
出版年	2011
本文言語	英語
大きさ	XXX, 706 p. 72 illus., 28 illus. in color : online resource
著者標目	*Langtangen, Hans Petter author SpringerLink (Online service)
件　名	LCSH:Mathematics -- Data processing  全ての件名で検索 LCSH:Computer programming LCSH:Software engineering LCSH:Computer science -- Mathematics  全ての件名で検索 LCSH:Mathematical physics FREE:Computational Science and Engineering FREE:Programming Techniques FREE:Software Engineering FREE:Mathematics of Computing FREE:Theoretical, Mathematical and Computational Physics
一般注記	Computing with Formulas -- Loops and Lists -- Functions and Branching -- Input Data and Error Handling -- Array Computing and Curve Plotting -- Files, Strings and Dictionaries -- Introduction to Classes -- Random Numbers and Simple Games -- Object-Oriented Programming -- Sequences and Difference Equations -- Introduction to Discrete Calculus.- Introduction to Differential Equations -- A Complete Differential Equation Project -- Programming of Differential Equations -- Debugging -- Technical Topics -- Bibliography -- Index   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 HTTP:URL=https://doi.org/10.1007/978-3-642-18366-9

 類似資料