Scientific Data Analysis using Jython Scripting and Java by Sergei V. Chekanov

By Sergei V. Chekanov

Medical information research utilizing Jython Scripting and Java offers sensible methods for info research utilizing Java scripting in line with Jython, a Java implementation of the Python language. The chapters primarily conceal all features of information research, from arrays and histograms to clustering research, curve becoming, metadata and neural networks. A complete assurance of knowledge visualisation instruments carried out in Java is additionally incorporated. Written by means of the first developer of the jHepWork data-analysis framework, the e-book offers a competent and entire reference resource laying the root for data-analysis purposes utilizing Java scripting. greater than 250 code snippets (of round 10-20 traces each one) written in Jython and Java, plus a number of real-life examples support the reader boost a real feeling for facts research innovations and their programming implementation. this can be the 1st data-analysis and data-mining ebook that is thoroughly in accordance with the Jython language, and opens doorways to scripting utilizing an absolutely multi-platform and multi-threaded process. Graduate scholars and researchers will enjoy the info offered during this ebook.

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Additional info for Scientific Data Analysis using Jython Scripting and Java (Advanced Information and Knowledge Processing)

Example text

Such comment can be accessed via the special attribute __doc__. This attribute will be considered later on when we will discuss functions and classes. Jython statements can span multiple lines. In such cases, you should add a back slash at the end of the previous line to indicate that you are continuing on the next line. 2 Quick Introduction to Jython Objects As for any dynamically-typed high-lavel computational language, one can use Jython as a simple calculator. Let us use the jHepWork IDE to illustrate this.

Addison-Wesley, Reading (2005) 9. : Java in a Nutshell, 5th edn. O’Reilly Media, Sebastopol (2007) 10. : Thinking in Java, 4th edn. Prentice Hall PTR, Englewood Cliffs (2006) 11. : Effective Java, 2nd edn. The Java Series. Prentice Hall PTR, Englewood Cliffs (2008) 12. : A Java based analysis environment JAS (1996) 13. FreeHEP Java Libraries. org/ 14. Python Programming Language. org/ 15. The Jython Project. org/ 16. : Root status and future developments. ECONF C0303241 (2003) MOJT001 17. : ROOT: An object oriented data analysis framework.

This brings up a dialog with the list of available Jython examples. One can run the example macro files to get a clue on how to use the jHPlot package with numerical and graphical libraries. Before jumping to the data analysis sections, I would like to give one advice. The jHepWork IDE is only an experimental tool and, probably, it was not tested as careful as any other professional IDE. It was designed as a light-weight source-code editor with IDE-like features to help for new users to get started.

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