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.
"Sinopsis" puede pertenecer a otra edición de este libro.
From the reviews of the second edition:
"This book addresses primarily a CSE (computational science and engineering) audience. ... gives a clear and detailed account on the ways in which the surprisingly powerful Python language may aid the CSE community." (H. Muthsam, Monatshefte für Mathematik, Vol. 151 (4), 2007)
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.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Destinos, gastos y plazos de envíoLibrería: ThriftBooks-Dallas, Dallas, TX, Estados Unidos de America
Paperback. Condición: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less 2.37. Nº de ref. del artículo: G3642093159I5N00
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 780 pp. Englisch. Nº de ref. del artículo: 9783642093159
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Shows how to develop tailored, flexible, and human-efficient working environments using the easy-to-learn, high-level Python languageFocuses on examples and applications of practical use to computational scientistsCompatible with the new Nu. Nº de ref. del artículo: 5048330
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Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Nº de ref. del artículo: 9783642093159
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Taschenbuch. Condición: Neu. Neuware -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. 780 pp. Englisch. Nº de ref. del artículo: 9783642093159
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