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A01=Hans Petter Langtangen
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A Primer on Scientific Programming with Python

3.81 (57 ratings by Goodreads)

Hardback | English

By (author): Hans Petter Langtangen

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. See more
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A01=Hans Petter LangtangenAge Group_UncategorizedAuthor_Hans Petter Langtangenautomatic-updateCategory1=Non-FictionCategory=UMZCategory=UYAMCOP=GermanyDelivery_Delivery within 10-20 working daysFormat=BBFormat_HardbackLanguage_EnglishNWS=6PA=AvailablePrice_€20 to €50PS=ActiveSN=Texts in Computational Science and Engineeringsoftlaunch
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Product Details
  • Format: Hardback
  • Dimensions: 193 x 260mm
  • Publication Date: 20 Apr 2011
  • Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
  • Publication City/Country: Germany
  • Language: English
  • ISBN13: 9783642183652

About Hans Petter Langtangen

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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