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[ED: Buch], [PU: Springer-Verlag GmbH], Neuware - The book serves as a first introduction to computer programming of scientific applications, using the high-level Python language. The exp… Mehr…

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Hans Petter Langtangen:

A Primer on Scientific Programming with Python - neues Buch

2016, ISBN: 3662498863

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… Mehr…

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A Primer on Scientific Programming with Python - neues Buch

2015

ISBN: 9783662498866

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… Mehr…

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A Primer on Scientific Programming with Python / Hans Petter Langtangen / Buch / Texts in Computational Science and Engineering / XXXI / Englisch / 2016 / Springer Berlin / EAN 9783662498866 - Langtangen, Hans Petter
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Langtangen, Hans Petter:
A Primer on Scientific Programming with Python / Hans Petter Langtangen / Buch / Texts in Computational Science and Engineering / XXXI / Englisch / 2016 / Springer Berlin / EAN 9783662498866 - gebunden oder broschiert

2016, ISBN: 9783662498866

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Hans Petter Langtangen:
A Primer on Scientific Programming with Python - Taschenbuch

2016, ISBN: 9783662498866

A Primer on Scientific Programming with Python - 5th ed. 2016: ab 79.99 € Bücher > Wissenschaft > Mathematik Springer-Verlag GmbH Buch (gebunden), Springer-Verlag GmbH

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Bibliographische Daten des bestpassenden Buches

Details zum Buch
A Primer on Scientific Programming with Python (Texts in Computational Science and Engineering, 6, Band 6)
Autor:
Titel:
ISBN-Nummer:

3662498863


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.

From the reviews: 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. 

F. H. Wild III, Choice, Vol. 47 (8), April 2010

Those of us who have learned scientific programming in Python ‘on the streets’ could be a little jealous of students who have the opportunity to take a course out of Langtangen’s Primer.” 
John D. Cook, The Mathematical Association of America, September 2011

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.
Alex Small, IEEE, CiSE Vol. 14 (2), March /April 2012  

“This 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…”
Joan Horvath, Computing Reviews, M

Detailangaben zum Buch - A Primer on Scientific Programming with Python (Texts in Computational Science and Engineering, 6, Band 6)


EAN (ISBN-13): 9783662498866
ISBN (ISBN-10): 3662498863
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2012
Herausgeber: Springer

Buch in der Datenbank seit 2016-05-20T09:31:13+02:00 (Berlin)
Detailseite zuletzt geändert am 2024-03-13T17:56:57+01:00 (Berlin)
ISBN/EAN: 3662498863

ISBN - alternative Schreibweisen:
3-662-49886-3, 978-3-662-49886-6
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: langtangen, hans lang, läng hans, spring hans, real world python, hans wild, petter, march
Titel des Buches: think python, primer scientific programming with python, computational, book programming, scientific and engineering, springer texts

Daten vom Verlag:

Autor/in: Hans Petter Langtangen
Titel: Texts in Computational Science and Engineering; A Primer on Scientific Programming with Python
Verlag: Springer; Springer Berlin
922 Seiten
Erscheinungsjahr: 2016-08-01
Berlin; Heidelberg; DE
Sprache: Englisch
80,24 € (DE)
82,49 € (AT)
88,50 CHF (CH)
Available
XXXI, 922 p. 88 illus., 20 illus. in color.

BB; Hardcover, Softcover / Informatik, EDV/Allgemeines, Lexika; Numerische Mathematik; Verstehen; Monte Carlo simulation; Python programming; numerical calculus; numerical methods; object-oriented programming; ordinary differential equations; vectorization; Computational Science and Engineering; Programming Techniques; Mathematics of Computing; Theoretical, Mathematical and Computational Physics; Computerprogrammierung und Softwareentwicklung; Mathematik für Informatiker; Mathematische Physik; BB; EA; BC

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.

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. 

 

From the reviews:  F. H. Wild III, Choice, Vol. 47 (8), April 2010 John D. Cook, The Mathematical Association of America, September 2011 Alex Small,IEEE, CiSE Vol. 14 (2), March   /April 2012   Joan Horvath, Computing Reviews, March 2015 

Preface.- Computing with Formulas.- Loops and Lists.- Functions and Branching.- User Input and Error Handling.- Array Computing and Curve Plotting.- Dictionaries and Strings.- Introduction to Classes.- Random Numbers and Simple Games.- Object-Oriented Programming.- Sequences and Difference Equations.- Introduction to Discrete Calculus.- Introduction to Differential Equations.- A Complete Differential Equation Project.- Programming of Differential Equations.- Debugging.- Migrating Python to Compiled Code.- Technical Topics.- References.- Index.

“This update to previous editions … continues to serve as an excellent introduction to scientific programming and the Python programming language. … Each chapter has a significant collection of exercises, which reinforce the concepts contained in the chapter. … this is an excellent book for any individual starting to learn scientific programming, and it will serve as a great reference book for those working in the field. Summing Up: Recommended. Lower- and upper-division undergraduates.” (D. B. Mason, Choice, Vol. 54 (9), May, 2017)

“The authors have made a very concerted effort to describe Python in a very easy, flowing way with many useful case studies. … I have no hesitation in recommending this book for senior high school students or freshmen in college. One must certainly have access to the Python development environment, and this book will be a worthy companion in the journey to mastering programming concepts.” (Naga Narayanaswamy, Computing Reviews, May, 2017)

“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)

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.

Hans Petter Langtangen
Example-oriented text with all applications taken from science and engineering Aimed at newcomers to programming and Python, but proved to be useful for professionals too All examples are accompanied by complete program codes, which can be modified to the reader's needs Covers both Matlab-style "simple" programming and object-oriented programming Demonstrates how Python can be an alternative to Matlab in scientific computing Includes supplementary material: sn.pub/extras
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