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A Primer on Scientific Programming with Python (eBook)

Artikelnummer: 978-3-642-18366-9
Einband: PDF
Verfügbarkeit: Download, sofort verfügbar (Link per E-Mail)
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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.

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.

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VerlagSpringer Berlin Heidelberg
EinbandPDF
Erscheinungsjahr2011
Seitenangabe706 S.
AusgabekennzeichenEnglisch
AbbildungenXXX, 706 p. 72 illus., 28 illus. in color.
Masse7'187 KB
Auflage11002 A. Second Edition 2011
PlattformPDF
ReiheTexts in Computational Science and Engineering; Mathematics and Statistics; Mathematics and Statistics
AutorLangtangen, Hans Petter

Alle Bände der Reihe "Texts in Computational Science and Engineering; Mathematics and Statistics; Mathematics and Statistics (R0)"

Über den Autor Hans Petter Langtangen

Hans Petter Langtangen (1962 - 2016) was a professor of computer science at the University of Oslo. He was formerly a professor of mechanics and was the Director of "Center for Biomedical Computing", a Norwegian Center of Excellence at the Simula Research Laboratory in Oslo. Langtangen has more than 100 scientific publications, including journal papers and many books, e.g., the bestseller TCSE 6 "A Primer on Scientific Programming with Python" (editions 1 - 5). He has also developed open source and commercial software systems for computational sciences." Kent-Andre Mardal is a professor of mechanics at the University of Oslo and an adjunct research scientist at Simula Research Laboratory. He has published more than 80 scientific publications, including journal papers, one co-authored book and the co-edited the book about the FEniCS project, for which he was a core developer for many years.

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