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Python Scripting for Computational Science
Taschenbuch von Hans Petter Langtangen
Sprache: Englisch

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Beschreibung
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.
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.
Zusammenfassung
This 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. The focus is on examples and applications of relevance to computational scientists. All the tools and examples in this book are open source codes. The second edition features new material, reorganization of text, improved examples and tools, updated information, and correction of errors.
Inhaltsverzeichnis
Getting Started with Python Scripting.- Basic Python.- Numerical Computing in Python.- Combining Python with Fortran, C, and C++.- to GUI Programming.- Web Interfaces and CGI Programming.- Advanced Python.- Fortran Programming with NumPy Arrays.- C and C++ Programming with NumPy Arrays.- More Advanced GUI Programming.- Tools and Examples.
Details
Erscheinungsjahr: 2010
Fachbereich: EDV
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Thema: Lexika
Medium: Taschenbuch
Seiten: 780
Reihe: Texts in Computational Science and Engineering
ISBN-13: 9783642093159
ISBN-10: 3642093159
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Langtangen, Hans Petter
Auflage: Softcover reprint of hardcover 3rd ed. 2008
Hersteller: Springer Berlin
Springer Berlin Heidelberg
Texts in Computational Science and Engineering
Maße: 235 x 155 x 42 mm
Von/Mit: Hans Petter Langtangen
Erscheinungsdatum: 22.11.2010
Gewicht: 1,159 kg
preigu-id: 107211705
Zusammenfassung
This 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. The focus is on examples and applications of relevance to computational scientists. All the tools and examples in this book are open source codes. The second edition features new material, reorganization of text, improved examples and tools, updated information, and correction of errors.
Inhaltsverzeichnis
Getting Started with Python Scripting.- Basic Python.- Numerical Computing in Python.- Combining Python with Fortran, C, and C++.- to GUI Programming.- Web Interfaces and CGI Programming.- Advanced Python.- Fortran Programming with NumPy Arrays.- C and C++ Programming with NumPy Arrays.- More Advanced GUI Programming.- Tools and Examples.
Details
Erscheinungsjahr: 2010
Fachbereich: EDV
Genre: Informatik
Rubrik: Naturwissenschaften & Technik
Thema: Lexika
Medium: Taschenbuch
Seiten: 780
Reihe: Texts in Computational Science and Engineering
ISBN-13: 9783642093159
ISBN-10: 3642093159
Sprache: Englisch
Ausstattung / Beilage: Paperback
Einband: Kartoniert / Broschiert
Autor: Langtangen, Hans Petter
Auflage: Softcover reprint of hardcover 3rd ed. 2008
Hersteller: Springer Berlin
Springer Berlin Heidelberg
Texts in Computational Science and Engineering
Maße: 235 x 155 x 42 mm
Von/Mit: Hans Petter Langtangen
Erscheinungsdatum: 22.11.2010
Gewicht: 1,159 kg
preigu-id: 107211705
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