A primer on scientific programming with python /

<p>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...

Full description

Saved in:
Bibliographic Details
Main Author: Langtangen, Hans Petter (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2012.
Edition:3rd ed. 2012.
Series:Texts in Computational Science and Engineering 6
Subjects:
Online Access:Click here to view the full text content
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:<p>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.</p><p> </p>
Physical Description:1 online resource (XXXII, 798 pages) 79 illustration, 30 illustration in colour, digital.
ISBN:9783642302930
ISSN:1611-0994