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Python Scripting for Computational Science 3e (Texts in Computational Science and Engineering) - Hans Petter Langtangen, Timothy J. Barth, Michael Griebel, David E. Keyes, Risto M. Nieminen, Dirk Roose, Tamar Schlick
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Hans Petter Langtangen, Timothy J. Barth, Michael Griebel, David E. Keyes, Risto M. Nieminen, Dirk Roose, Tamar Schlick:
Python Scripting for Computational Science 3e (Texts in Computational Science and Engineering) - Taschenbuch

2009, ISBN: 3642093159

[SR: 853224], Paperback, [EAN: 9783642093159], Springer Berlin Heidelberg, Springer Berlin Heidelberg, Book, [PU: Springer Berlin Heidelberg], 2009-12-09, Springer Berlin Heidelberg, Python Scripting for Computational Science The goal of this book is to demonstrate how to develop tailored, flexible working environments built from small programs (scripts) written in the easy-to-learn, high-level language Python. The focus is on applications relevant to computational scientists., 404260, Artificial Intelligence, 269265, Computer Science, 71, Computing & Internet, 1025612, Subjects, 266239, Books, 269709, Algorithms, 269678, Programming, 71, Computing & Internet, 1025612, Subjects, 266239, Books, 404252, Languages, 269678, Programming, 71, Computing & Internet, 1025612, Subjects, 266239, Books, 14159961, Functional Programming, 14159921, Software Design, Testing & Engineering, 269678, Programming, 71, Computing & Internet, 1025612, Subjects, 266239, Books, 14159951, Software Architecture, 14159921, Software Design, Testing & Engineering, 269678, Programming, 71, Computing & Internet, 1025612, Subjects, 266239, Books, 922390, Engineering Physics, 278115, Engineering & Technology, 57, Science & Nature, 1025612, Subjects, 266239, Books, 278306, Microscopy, 922480, Experiments, Instruments & Measurements, 57, Science & Nature, 1025612, Subjects, 266239, Books, 278329, Applied Mathematics, 922530, Mathematical Modelling, 278335, Mathematics for Scientists & Engineers, 278419, Physics, 278320, Mathematics, 57, Science & Nature, 1025612, Subjects, 266239, Books, 278419, Mathematical, 278409, Physics, 57, Science & Nature, 1025612, Subjects, 266239, Books, 922934, Artificial Intelligence, 922868, Popular Science, 57, Science & Nature, 1025612, Subjects, 266239, Books, 922942, Maths, 922868, Popular Science, 57, Science & Nature, 1025612, Subjects, 266239, Books, 564346, Engineering, 571042, Chemical & Biochemical Engineering, 571044, Civil Engineering, 571500, Electrical Engineering, 571046, Electronics & Telecommunications Engineering, 571052, Energy Engineering, 571056, Engineering Skills & Design, 571048, Environmental Engineering, 573598, Industrial Chemistry & Manufacturing Technologies, 571050, Mechanical & Material Engineering, 564334, Scientific, Technical & Medical, 1025612, Subjects, 266239, Books, 564352, Mathematics, 570902, Algebra, 570874, Applied Mathematics, 570912, Calculus & Mathematical Analysis, 570934, Combinatorics & Graph Theory, 570936, Geometry, 570964, Mathematical Theory, 564334, Scientific, Technical & Medical, 1025612, Subjects, 266239, Books

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2010, ISBN: 9783642093159

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Numerous readers of the second edition have noti?ed me about misprints and possible improvements of the text and the associated computer codes. The resulting modi?cations have been incorporated in this new edition and its accompanying software. The major change between the second and third editions, however, is caused by the new implementation of Numerical Python, now called numpy. The new numpy package encourages a slightly di?erent syntax compared to the old Numeric implementation, which was used in the previous editions. Since Numerical Python functionality appears in a lot of places in the book, there are hence a huge number of updates to the new suggested numpy syntax, especially in Chapters 4, 9, and 10. The second edition was based on Python version 2.3, while the third edition contains updates for version 2.5. Recent Python features, such as generator expressions (Chapter 8.9.4), Ctypes for interfacing shared libraries in C (Chapter 5.2.2), the with statement (Chapter 3.1.4), and the subprocess module for running external processes (Chapter 3.1.3) have been exempli?ed to make the reader aware of new tools. Chapter 4.4.4 is new and gives a taste of symbolic mathematics in Python. 3rd edition The goal of this book is to demonstrate how to develop tailored, flexible working environments built from small programs (scripts) written in the easy-to-learn, high-level language Python. The focus is on applications relevant to computational scientists. Bücher > Fremdsprachige Bücher > Englische Bücher Taschenbuch 22.11.2010 Buch (fremdspr.), Springer, .201

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Numerous readers of the second edition have noti?ed me about misprints and possible improvements of the text and the associated computer codes. The resulting modi?cations have been incorporated in this new edition and its accompanying software. The major change between the second and third editions, however, is caused by the new implementation of Numerical Python, now called numpy. The new numpy package encourages a slightly di?erent syntax compared to the old Numeric implementation, which was used in the previous editions. Since Numerical Python functionality appears in a lot of places in the book, there are hence a huge number of updates to the new suggested numpy syntax, especially in Chapters 4, 9, and 10. The second edition was based on Python version 2.3, while the third edition contains updates for version 2.5. Recent Python features, such as generator expressions (Chapter 8.9.4), Ctypes for interfacing shared libraries in C (Chapter 5.2.2), the with statement (Chapter 3.1.4), and the subprocess module for running external processes (Chapter 3.1.3) have been exempli?ed to make the reader aware of new tools. Chapter 4.4.4 is new and gives a taste of symbolic mathematics in Python. 3rd edition The goal of this book is to demonstrate how to develop tailored, flexible working environments built from small programs (scripts) written in the easy-to-learn, high-level language Python. The focus is on applications relevant to computational scientists. Buch (fremdspr.) Bücher>Fremdsprachige Bücher>Englische Bücher, Springer

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Mathematics; Computational Science and Engineering; Numerical and Computational Physics, Simulation; Software Engineering/Programming and Operating Systems; Computational Intelligence C programming language, C++ programming, C++ programming language, C/C++, FORTRAN, Open Source, Python, Windows, computational science, interfaces, language, programming, simulation, software, user interface Books Book (Paperback Initiative), Springer Science+Business Media

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Details zum Buch
Python Scripting for Computational Science (Texts in Computational Science and Engineering)
Autor:

Langtangen, Hans Petter

Titel:

Python Scripting for Computational Science (Texts in Computational Science and Engineering)

ISBN-Nummer:

With a primary focus on examples and applications of relevance to computational scientists, this brilliantly useful book shows computational scientists how to develop tailored, flexible, and human-efficient working environments built from small scripts written in the easy-to-learn, high-level Python language. All the tools and examples in this book are open source codes. This third edition features lots of new material. It is also released after a comprehensive reorganization of the text. The author has inserted improved examples and tools and updated information, as well as correcting any errors that crept in to the first imprint.

Detailangaben zum Buch - Python Scripting for Computational Science (Texts in Computational Science and Engineering)


EAN (ISBN-13): 9783642093159
ISBN (ISBN-10): 3642093159
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2010
Herausgeber: Springer-Verlag GmbH
780 Seiten
Gewicht: 1,280 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 01.06.2011 21:38:44
Buch zuletzt gefunden am 05.06.2017 19:54:36
ISBN/EAN: 9783642093159

ISBN - alternative Schreibweisen:
3-642-09315-9, 978-3-642-09315-9


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