9783662498866 - a primer on scientific programming with python (texts in computational science and engineering, 6, band 6) von langtangen, hans petter (29 Ergebnisse)
Sprache: Englisch
Verlag: Springer, 2016
Serie: Buch 17 von 29 - Texts in Computational Science and Engineering
- Hardcover
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Sprache: Englisch
Verlag: Springer, 2016
Serie: Buch 17 von 29 - Texts in Computational Science and Engineering
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Sprache: Englisch
Verlag: Springer, 2016
Serie: Buch 17 von 29 - Texts in Computational Science and Engineering
- Hardcover
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Sprache: Englisch
Verlag: Springer Berlin / Heidelberg, 2016
Serie: Buch 17 von 29 - Texts in Computational Science and Engineering
- Hardcover
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Zustand: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Sprache: Englisch
Verlag: Springer, 2016
Serie: Buch 17 von 29 - Texts in Computational Science and Engineering
- Hardcover
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Sprache: Englisch
Verlag: Springer, 2016
Serie: Buch 17 von 29 - Texts in Computational Science and Engineering
- Hardcover
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Zustand: Good. Volume 6. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,2300grams, ISBN:9783662498866.
Sprache: Englisch
Verlag: Springer, 2016
Serie: Buch 17 von 29 - Texts in Computational Science and Engineering
- Hardcover
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Zustand: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Sprache: Englisch
Verlag: Springer, 2016
Serie: Buch 17 von 29 - Texts in Computational Science and Engineering
- Hardcover
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Sprache: Englisch
Verlag: Springer, 2016
Serie: Buch 17 von 29 - Texts in Computational Science and Engineering
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Sprache: Englisch
Verlag: Springer, 2016
Serie: Buch 17 von 29 - Texts in Computational Science and Engineering
- Hardcover
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Zustand: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Sprache: Englisch
Verlag: Springer-Verlag GmbH, 2016
Serie: Buch 17 von 29 - Texts in Computational Science and Engineering
- Hardcover
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Sprache: Englisch
Verlag: Springer, 2016
Serie: Buch 17 von 29 - Texts in Computational Science and Engineering
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Sprache: Englisch
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Sprache: Englisch
Verlag: Springer, 2016
Serie: Buch 17 von 29 - Texts in Computational Science and Engineering
- Hardcover
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Sprache: Englisch
Verlag: Springer, 2016
Serie: Buch 17 von 29 - Texts in Computational Science and Engineering
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Zustand: New. pp. 922.
Sprache: Englisch
Verlag: Springer, 2016
Serie: Buch 17 von 29 - Texts in Computational Science and Engineering
- Hardcover
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Sprache: Englisch
Verlag: Springer (Heidelberg; Dordrecht; London; New York), 2016
Serie: Buch 17 von 29 - Texts in Computational Science and Engineering
- Hardcover
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Hardcover. Zustand: Fine. 5. English 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. T…he 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. TEXTS IN COMPUTATIONAL SCIENCE AND ENGINEERING 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, March 2015.
Sprache: Englisch
Verlag: Springer, 2016
Serie: Buch 17 von 29 - Texts in Computational Science and Engineering
- Hardcover
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Zustand: New. pp. 922.
Sprache: Englisch
Verlag: Springer-Verlag Gmbh Aug 2016, 2016
Serie: Buch 17 von 29 - Texts in Computational Science and Engineering
- Hardcover
Anbieter: Rheinberg-Buch Andreas Meier eK, Bergisch Gladbach, DeutschlandRheinberg-Buch Andreas Meier eK
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Buch. Zustand: Neu. Neuware -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 t…eaches '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 2010Those 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 2011This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable informationfor 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, March 2015 922 pp. Englisch.
Sprache: Englisch
Verlag: Springer, 2016
Serie: Buch 17 von 29 - Texts in Computational Science and Engineering
- Hardcover
Anbieter: GreatBookPricesUK, Woodford Green, Vereinigtes KönigreichGreatBookPricesUK
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Zustand: As New. Unread book in perfect condition.
Sprache: Englisch
Verlag: Springer-Verlag Gmbh Aug 2016, 2016
Serie: Buch 17 von 29 - Texts in Computational Science and Engineering
- Hardcover
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Buch. Zustand: Neu. Neuware -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 t…eaches '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 2010Those 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 2011This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable informationfor 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, March 2015 922 pp. Englisch.
Sprache: Englisch
Verlag: Springer-Verlag Gmbh Aug 2016, 2016
Serie: Buch 17 von 29 - Texts in Computational Science and Engineering
- Hardcover
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Buch. Zustand: Neu. Neuware -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 t…eaches '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.
Sprache: Englisch
Verlag: Springer Berlin Heidelberg, 2016
Serie: Buch 17 von 29 - Texts in Computational Science and Engineering
- Hardcover
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Zustand: New. Example-oriented text with all applications taken from science and engineeringAimed at newcomers to programming and Python, but proved to be useful for professionals tooAll examples are accompanied by complete program codes, which can be modified.
Sprache: Englisch
Verlag: Springer, 2016
Serie: Buch 17 von 29 - Texts in Computational Science and Engineering
- Hardcover
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Hardcover. Zustand: Brand New. 5th ed. 2016 edition. 922 pages. 10.10x7.20x2.10 inches. In Stock.
Sprache: Englisch
Verlag: Springer-Verlag Gmbh Aug 2016, 2016
Serie: Buch 17 von 29 - Texts in Computational Science and Engineering
- Hardcover
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Buch. Zustand: Neu. Neuware -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 t…eaches '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.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 922 pp. Englisch.
Sprache: Englisch
Verlag: Springer-Verlag Gmbh Aug 2016, 2016
Serie: Buch 17 von 29 - Texts in Computational Science and Engineering
- Hardcover
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Buch. Zustand: Neu. Neuware - 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 2010Those 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 2011This book goes through Python in particular, and programming in general, via tasks that scientists will likely perform. It contains valuable informationfor 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, March 2015.
Sprache: Englisch
Verlag: Springer, 2016
Serie: Buch 17 von 29 - Texts in Computational Science and Engineering
- Hardcover
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Hardcover. Zustand: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Sprache: Englisch
Verlag: Springer-Verlag Gmbh Aug 2016, 2016
Serie: Buch 17 von 29 - Texts in Computational Science and Engineering
- Hardcover
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Buch. Zustand: Neu. Neuware -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 t…eaches '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 2010Those 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 2011This 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, March 2015 922 pp. Englisch.
