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Scientific Data Analysis using Jython Scripting and Java
Scientific 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,...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London :
Springer London : Imprint: Springer,
2010.
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| Edición: | 1st ed. 2010. |
| Colección: | Advanced Information and Knowledge Processing,
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| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 001 | 978-1-84996-287-2 | ||
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| 020 | |a 9781849962872 |9 978-1-84996-287-2 | ||
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| 100 | 1 | |a Chekanov, Sergei V. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Scientific Data Analysis using Jython Scripting and Java |h [electronic resource] / |c by Sergei V. Chekanov. |
| 250 | |a 1st ed. 2010. | ||
| 264 | 1 | |a London : |b Springer London : |b Imprint: Springer, |c 2010. | |
| 300 | |a XXIV, 440 p. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 490 | 1 | |a Advanced Information and Knowledge Processing, |x 2197-8441 | |
| 505 | 0 | |a Jython, 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 | |a Scientific 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. | ||
| 650 | 0 | |a Database management. | |
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Compilers (Computer programs). | |
| 650 | 0 | |a Computer science. | |
| 650 | 1 | 4 | |a Database Management. |
| 650 | 2 | 4 | |a Data Mining and Knowledge Discovery. |
| 650 | 2 | 4 | |a Compilers and Interpreters. |
| 650 | 2 | 4 | |a Computer Science. |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9781849962865 |
| 776 | 0 | 8 | |i Printed edition: |z 9781447125815 |
| 776 | 0 | 8 | |i Printed edition: |z 9781849962889 |
| 830 | 0 | |a Advanced Information and Knowledge Processing, |x 2197-8441 | |
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