A Primer on Scientific Programming with Python (3rd edition)

Langtangen, Hans Petter

ISBN 10: 3642302920 ISBN 13: 9783642302923

Editorial: Springer, 2012

Idioma: Ingl�s

Condici�n: Usado - Bueno Encuadernaci�n de tapa dura

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Descripci�n

VERY GOOD hardcover, no marks in text, clean exterior; a very gently used copy.

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Detalles bibliogr�ficos

T�tulo

A Primer on Scientific Programming with Python (3rd edition)

Editor

Springer

Fecha de publicaci�n

2012

Idioma

Ingl�s

ISBN 10

3642302920

ISBN 13

9783642302923

Encuadernaci�n

Hardcover

Edici�n

3rd Edition.

Estado

Very Good

Tipo de libro

Book

Cat�logos de vendedores

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Sinopsis

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.

Acerca del autor

Hans Petter Langtangen is a professor of computer science at the University of Oslo. He has formely been a professor of mechanics and is now the director of a Norwegian Center of Excellence: "Center for Biomedical Computing", at Simula Research Laboratory. Langtangen has published over 100 scientific publications and written several books, including papers and a book on Python's potential for scientific computing. He has also developed open source and commercial software systems for computational sciences.

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