Texts in Computational Science and Engineering

A Primer on Scientific Programming with Python

Authors: Langtangen, Hans Petter

  • Groundbreaking textbook for beginners on programming for CSE
  • The first book of its kind
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eBook $44.99
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  • ISBN 978-3-642-02475-7
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About this Textbook

Theaimofthisbookistoteachcomputerprogrammingusingexamples from mathematics and the natural sciences. We have chosen to use the Python programming language because it combines remarkable power with very clean, simple, and compact syntax. Python is easy to learn and very well suited for an introduction to computer programming. Python is also quite similar to Matlab and a good language for doing mathematical computing. It is easy to combine Python with compiled languages, like Fortran, C, and C++, which are widely used languages forscienti?ccomputations.AseamlessintegrationofPythonwithJava is o?ered by a special version of Python called Jython. The examples in this book integrate programming with appli- tions to mathematics, physics, biology, and ?nance. The reader is - pected to have knowledge of basic one-variable calculus as taught in mathematics-intensive programs in high schools. It is certainly an - vantage to take a university calculus course in parallel, preferably c- taining both classical and numerical aspects of calculus. Although not strictly required, a background in high school physics makes many of the examples more meaningful.

About the authors

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.

Reviews

From the reviews:

“This book is an introduction to computer programming using the Python programming language. It focuses on numerical methods as the context for examples, exercises, and assignments. … Langtangen … does an excellent job of introducing programming as a set of skills in problem solving. He guides the reader into thinking properly about producing program logic and data structures for modeling real-world problems using objects and functions and embracing the object-oriented paradigm. … Summing Up: Highly recommended. Upper-division undergraduates through professionals; general readers.” (F. H. Wild III, Choice, Vol. 47 (8), April, 2010)

“It is an authoritative and almost monumental work that covers most aspects of the Python language and its numerical modules. It definitely has a prominent place on my bookshelf. … The text is well written … . In summary, this is the book (the only book) to have if you are an aspiring Python programmer of scientific applications.” (Jaan Kiusalaas, SIAM Review, Vol. 52 (3), September, 2010)

“The book’s title reflects its content accurately, the content is substantively scientific and the book is a very good programming book. … This excellent book is quite rich mathematically, numerical methods, differential equations, treatments of shape, and a variety of exercises and projects are included. It will also impart a deep knowledge of python, one of today’s most useful languages. I have learned a great deal from this book and recommend it highly.” (George Hacken, ACM Computing Reviews, September, 2010)


Table of contents (9 chapters)

Buy this book

eBook $44.99
price for USA (gross)
  • ISBN 978-3-642-02475-7
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
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Bibliographic Information

Bibliographic Information
Book Title
A Primer on Scientific Programming with Python
Authors
Series Title
Texts in Computational Science and Engineering
Series Volume
6
Copyright
2009
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-02475-7
DOI
10.1007/978-3-642-02475-7
Series ISSN
1611-0994
Edition Number
1
Number of Pages
XXVIII, 694
Topics