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A Primer on Scientific Programming with Python

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概要 "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 applicatio...ns 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."--Publisher's description.続きを見る
目次 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.
本文を見る Full text available from SpringerLink ebooks - Mathematics and Statistics (2012)

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登録日 2013.11.22
更新日 2017.11.26

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