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A Primer on Scientific Programming with Python

Texts in Computational Science and Engineering

{"p":["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.",{"i":"From the reviews: ","content":"Langtangen \u2026 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. \u2026 Summing Up: Highly recommended. "},{"b":"F. H. Wild III, Choice, Vol. 47 (8), April 2010"},{"b":"John D. Cook, The Mathematical Association of America, September 2011","i":{"br":"","content":"Those of us who have learned scientific programming in Python \u2018on the streets\u2019 could be a little jealous of students who have the opportunity to take a course out of Langtangen\u2019s Primer.\u201d "}},{"b":["Alex Small, IEEE, CiSE Vol. 14 (2), March","","/April 2012  "],"i":{"br":"","content":"This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable information for students new to scientific computing and would be the perfect bridge between an introduction to programming and an advanced course on numerical methods or computational science."}},{"br":"","b":"Joan Horvath, Computing Reviews, March 2015 ","content":"\u201cThis fourth edition is a wonderful, inclusive textbook that covers pretty much everything one needs to know to go from zero to fairly sophisticated scientific programming in Python\u2026\u201d"}," ",""]}
Rezension
"All the concepts are illustrated using relatively simple examples that are mostly mathematical. ... This book gives a thorough course to learn Python, and yet it is all brought at the level of a first year at the university. The fact that each concept is introduced with an example is essential. ... it is a description of how the language is used, which is a very natural approach." (European Mathematical Society, euro-math-soc.eu, August, 2016)
Portrait
{"p":{"b":"Hans Petter Langtangen","content":"is a professor of computer science at the University of Oslo. He has formerly 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 the bestseller TCSE 6 \"A Primer on Scientific Programming with Python\", now in its 5th edition. He has also developed open source and commercial software systems for computational sciences."}}
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Einband gebundene Ausgabe
Seitenzahl 922
Erscheinungsdatum 01.08.2016
Serie Texts in Computational Science and Engineering 6
Sprache Englisch
ISBN 978-3-662-49886-6
Verlag Springer
Maße (L/B/H) 259/189/48 mm
Gewicht 2189
Abbildungen 67 schwarz-weiße und 20 farbige Abbildungen, Bibliographie
Auflage 5th ed. 2016
Buch (gebundene Ausgabe, Englisch)
68,99
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