000 03097nam a22003735i 4500
001 291184
003 MX-SnUAN
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007 cr nn 008mamaa
008 150903s2010 xxk| o |||| 0|eng d
020 _a9781849962872
_99781849962872
024 7 _a10.1007/9781849962872
_2doi
035 _avtls000344682
039 9 _a201509030424
_bVLOAD
_c201405050310
_dVLOAD
_y201402061303
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQA75.5-76.95
100 1 _aChekanov, Sergei V.
_eautor
_9322353
245 1 0 _aScientific Data Analysis using Jython Scripting and Java /
_cby Sergei V. Chekanov.
264 1 _aLondon :
_bSpringer London :
_bImprint: Springer,
_c2010.
300 _axxiv, 440 páginas
_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 _aAdvanced Information and Knowledge Processing,
_x1610-3947
500 _aSpringer eBooks
505 0 _aJython, Java and jHepWork -- to Jython -- Mathematical Functions -- One-dimensional Data -- Two-dimensional Data -- Multi-dimensional Data -- Arrays, Matrices and Linear Algebra -- Histograms -- Random Numbers and Statistical Samples -- Graphical Canvases -- Input and Output -- Miscellaneous Analysis Issues Using jHepWork -- Data Clustering -- Linear Regression and Curve Fitting -- Neural Networks -- Steps in Data Analysis -- Real-life Examples.
520 _aScientific Data Analysis using Jython Scripting and Java presents practical approaches for data analysis using Java scripting based on Jython, a Java implementation of the Python language. The chapters essentially cover all aspects of data analysis, from arrays and histograms to clustering analysis, curve fitting, metadata and neural networks. A comprehensive coverage of data visualisation tools implemented in Java is also included. Written by the primary developer of the jHepWork data-analysis framework, the book provides a reliable and complete reference source laying the foundation for data-analysis applications using Java scripting. More than 250 code snippets (of around 10-20 lines each) written in Jython and Java, plus several real-life examples help the reader develop a genuine feeling for data analysis techniques and their programming implementation. This is the first data-analysis and data-mining book which is completely based on the Jython language, and opens doors to scripting using a fully multi-platform and multi-threaded approach. Graduate students and researchers will benefit from the information presented in this book.
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:
_z9781849962865
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-84996-287-2
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c291184
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