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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 dataanalysis framework, the book provides a reliable and complete reference source laying the foundation for dataanalysis applications using Java scripting. More than 250 code snippets (of around 1020 lines each) written in Jython and Java, plus several reallife examples help the reader develop a genuine feeling for data analysis techniques and their programming implementation. This is the first dataanalysis and datamining book which is completely based on the Jython language, and opens doors to scripting using a fully multiplatform and multithreaded approach. Graduate students and researchers will benefit from the information presented in this book.
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