DataMelt books

There are several books describing the DMelt software platform. Please look at the online manual and code examples to learn about new topics not covered in these books.

The first book is one of the top 25% most downloadable ebooks in the relevant computer-science SpringerLink Collection 2016 and 2017. Note that the author does not receive the royalty for this book from Springer, therefore, donations to support this project (via DMelt membership) are highly appreciated.

Numeric Computation and Statistical Data Analysis on the Java Platform

by Sergei V.Chekanov

710 page. Springer-Verlag 2016. ISBN 978-3-319-28529-0
Table of Contents & Covered Topics
Download example source codes from this page (430 examples)


Book S.V.Chekanov 2016

About this book: Numerical computation, knowledge discovery and statistical data analysis integrated with powerful 2D and 3D graphics for visualization are the key topics of this book. The Python code examples powered by the Java platform can easily be transformed to other programming languages, such as Java, Groovy, Ruby and BeanShell. This book equips the reader with a computational platform which, unlike other statistical programs, is not limited by a single programming language.

The examples of this book are based on the DMelt software platform.


Scientific Data Analysis using Jython Scripting and Java

by Sergei V.Chekanov

440 pages, ISBN 978-1-84996-287-2, DOI: 10.1007/978-1-84996-287-2_1
Download code examples using this page


Book S.V.Chekanov 2016

About this book: 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. This book provides a reliable and complete reference source laying the foundation for data-analysis applications using Java scripting. More than 250 code snippets 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.

The examples of this book are based on the DMelt / jHepWork software platform.