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.
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