Posted by **roxul** at June 17, 2017

2012 | ISBN: 3642302920 | 850 pages | PDF | 7 MB

Posted by **naag** at March 21, 2017

2016 | ISBN-10: 3662498863 | 922 pages | EPUB | 1.26 MB

Posted by **roxul** at Jan. 9, 2017

2016 | ISBN-10: 3662498863 | 922 pages | PDF | 9 MB

Posted by **arundhati** at Nov. 21, 2016

2016 | ISBN-10: 3662498863 | 922 pages | PDF | 9 MB

Posted by **arundhati** at Jan. 27, 2015

2011 | ISBN-10: 3642183654 | 736 pages | PDF | 5 MB

Posted by **enmoys** at Nov. 12, 2014

2014 | 898 Pages | ISBN: 3642549586 | PDF | 7 MB

Posted by **AlenMiler** at June 20, 2014

Springer | June 28 2011 | ISBN: 3642183654 | Pages: 736 | PDF | 4.96 MB

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.

Posted by **arundhati** at March 30, 2014

2012 | ISBN: 3642302920 | 850 pages | PDF | 7 MB

Posted by **tukotikko** at Jan. 2, 2014

2012 | 850 Pages | ISBN: 3642302920 | PDF | 7 MB

Posted by **zolao** at Aug. 10, 2013

2012 | 850 Pages | ISBN: 3642302920 | PDF | 7 MB

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.