Python Scripting for Computational Science: Texts in Computational Science and Engineering, cartea 3
Autor Hans Petter Langtangenen Limba Engleză Paperback – 22 noi 2010
Toate formatele și edițiile | Preț | Express |
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Paperback (1) | 468.70 lei 43-57 zile | |
Springer Berlin, Heidelberg – 22 noi 2010 | 468.70 lei 43-57 zile | |
Hardback (1) | 473.72 lei 43-57 zile | |
Springer Berlin, Heidelberg – 11 dec 2007 | 473.72 lei 43-57 zile |
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Specificații
ISBN-13: 9783642093159
ISBN-10: 3642093159
Pagini: 780
Ilustrații: XXVI, 756 p.
Dimensiuni: 155 x 235 x 41 mm
Greutate: 1.08 kg
Ediția:Softcover reprint of hardcover 3rd ed. 2008
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Texts in Computational Science and Engineering
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642093159
Pagini: 780
Ilustrații: XXVI, 756 p.
Dimensiuni: 155 x 235 x 41 mm
Greutate: 1.08 kg
Ediția:Softcover reprint of hardcover 3rd ed. 2008
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Texts in Computational Science and Engineering
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
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.
Recenzii
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)
"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)
Caracteristici
Shows how to develop tailored, flexible, and human-efficient working environments using the easy-to-learn, high-level Python language Focuses on examples and applications of practical use to computational scientists Compatible with the new NumPy implementation and features updated information, correction of errors, and improved associated software tools All the tools and examples in the book are open source codes Includes supplementary material: sn.pub/extras