A Primer on Scientific Programming with Python

Langtangen, Hans Petter

ISBN 10: 3642024742 / ISBN 13: 9783642024740

Editore: Springer, 2009

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Titolo: A Primer on Scientific Programming with ...

Casa editrice: Springer

Data di pubblicazione: 2009

Legatura: Hardcover

Condizione: Good

Condizione sovraccoperta: No Jacket

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Riassunto:

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.

Recensione:

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)