Scientific data analysis using Jython scripting and Java [electronic resource]
- 作者： Chekanov, Sergei V.
- 其他作者：
- 出版： London : Springer-Verlag London Limited
- 叢書名： Advanced Information and Knowledge Processing0
- 主題： Jython (Computer program language) , Java (Computer program language) , Database management , Science--Statistical methods--Data processing , Computer science , Computer Science, general. , Data Mining and Knowledge Discovery.
- ISBN： 9781849962872 (electronic bk.) 、 9781849962865 (paper)
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FIND@SFXID:
CGU
- 資料類型: 電子書
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讀者標籤：
- 系統號： 005064120 | 機讀編目格式
館藏資訊
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.