000 03010nam a22003855i 4500
001 294981
003 MX-SnUAN
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008 150903s2006 gw | o |||| 0|eng d
020 _a9783540312697
_99783540312697
024 7 _a10.1007/3540312692
_2doi
035 _avtls000347631
039 9 _a201509030440
_bVLOAD
_c201404121443
_dVLOAD
_c201404091221
_dVLOAD
_y201402070936
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQA71-90
100 1 _aLangtangen, Hans Petter.
_eautor
_9329056
245 1 0 _aPython Scripting for Computational Science /
_cby Hans Petter Langtangen.
250 _aSecond Edition.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg,
_c2006.
300 _axxiv, 736 páginas 62 ilustraciones
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aTexts in Computational Science and Engineering,
_x1611-0994 ;
_v3
500 _aSpringer eBooks
505 0 _aGetting 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 Numerical Python Arrays -- C and C++ Programming with Numerical Python Arrays -- More Advanced GUI Programming -- Tools and Examples.
520 _aThe goal of this book is to teach computational scientists how to develop tailored, flexible, and human-efficient working environments built from small programs (scripts) written in the easy-to-learn, high-level language Python. The focus is on examples and applications of relevance to computational scientists: gluing existing applications and tools, e.g. for automating simulation, data analysis, and visualization; steering simulations and computational experiments; equipping old programs with graphical user interfaces; making computational Web applications; and creating interactive interfaces with a Maple/Matlab-like syntax to numerical applications in C/C++ or Fortran. In short, scripting with Python makes you much more productive, increases the reliability of your scientific work and lets you have more fun - on Unix, Windows and Macintosh. All the tools and examples in this book are open source codes. The third edition is compatible with the new NumPy implementation and features updated information, correction of errors, and improved associated software tools.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9783540294153
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/3-540-31269-2
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
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