Scientific Data Analysis using Jython Scripting and Java

Sergei V. Chekanov, "Scientific Data Analysis using Jython Scripting and Java"
Spring .er 2010 | ISBN-10: 1849962863 | 440 pages | File type: PDF | 3,9 mb

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.

[Fast Download] Scientific Data Analysis using Jython Scripting and Java

Ebooks related to "Scientific Data Analysis using Jython Scripting and Java" :
SQL Server 2005 T-SQL Recipes
HBase: The Definitive Guide
Database Systems for Advanced Applications
High Performance MySQL
Getting Started with Couchbase Server
Learn SQL Database Programming In a Weekend
Cracking the Coding Interview: 70 Database Questions and Answers (Volume 2)
Access Database Design & Programming, 3rd Edition
MySQL in a Nutshell
Pro Microsoft HDInsight: Hadoop on Windows
Copyright Disclaimer:
This site does not store any files on its server. We only index and link to content provided by other sites. Please contact the content providers to delete copyright contents if any and email us, we'll remove relevant links or contents immediately.