Skip to main content
SpringerLink
Log in

Scientific Data Analysis using Jython Scripting and Java

  • Textbook
  • © 2010

Overview

Authors:
  1. Sergei V. Chekanov

    1. HEP Division, ANL, Argonne National Laboratory, Argonne, USA

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • The only book which describes Java scripting for science and engineering.
  • Lays the foundation for data analysis using Java and Python using a truly multi-threaded and multiplatform approach.
  • Contains examples, about 250 in total, all are very short (10-20 lines of the code).
  • Contains real-life examples derived from the author's experience as a data analyser for the last 20 years of work in physics.
  • Includes supplementary material: sn.pub/extras

Part of the book series: Advanced Information and Knowledge Processing (AI&KP)

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution
eBook USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (18 chapters)

  1. Front Matter

    Pages I-XXIV
    Download chapter PDF

  2. Introduction

    • Sergei V. Chekanov
    Pages 1-2

  3. Jython, Java and jHepWork

    • Sergei V. Chekanov
    Pages 3-26

  4. Introduction to Jython

    • Sergei V. Chekanov
    Pages 27-84

  5. Mathematical Functions

    • Sergei V. Chekanov
    Pages 85-120

  6. One-dimensional Data

    • Sergei V. Chekanov
    Pages 121-134

  7. Two-dimensional Data

    • Sergei V. Chekanov
    Pages 135-159

  8. Multi-dimensional Data

    • Sergei V. Chekanov
    Pages 161-169

  9. Arrays, Matrices and Linear Algebra

    • Sergei V. Chekanov
    Pages 171-192

  10. Histograms

    • Sergei V. Chekanov
    Pages 193-221

  11. Random Numbers and Statistical Samples

    • Sergei V. Chekanov
    Pages 223-233

  12. Graphical Canvases

    • Sergei V. Chekanov
    Pages 235-271

  13. Input and Output

    • Sergei V. Chekanov
    Pages 273-312

  14. Miscellaneous Analysis Issues Using jHepWork

    • Sergei V. Chekanov
    Pages 313-334

  15. Data Clustering

    • Sergei V. Chekanov
    Pages 335-342

  16. Linear Regression and Curve Fitting

    • Sergei V. Chekanov
    Pages 343-365

  17. Neural Networks

    • Sergei V. Chekanov
    Pages 367-382

  18. Steps in Data Analysis

    • Sergei V. Chekanov
    Pages 383-405

  19. Real-life Examples

    • Sergei V. Chekanov
    Pages 407-433

  20. Back Matter

    Pages 435-440
    Download chapter PDF
Back to top

Keywords

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. 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.

Authors and Affiliations

  • HEP Division, ANL, Argonne National Laboratory, Argonne, USA

    Sergei V. Chekanov

About the author

S.V.Chekanov was born in Minsk (USSR) and received his Ph.D. in experimental physics (University of Nijmegen, The Netherlands). He has more than twenty years of experience in high-energy fields including advanced programming and analysis of large data volumes collected by high-energy experiments operated by major international collaborations. He has written over a hundred physics articles, many of them are based on analysis of experimental data from large-scale international experiments, LEP (CERN, European Organization for Nuclear Research), HERA (DESY, German Electron Synchrotron) and LHC, the Large Hadron Collider experiment at CERN. Over the past decade he has divided his time between physics analysis, developing analysis tools and providing software support for the Midwest data analysis center (USA) of the LHC experiment. In 2005 he began the creation of the jHepWork data analysis framework which is now the world's leading open-source Java software for scientists. Presently, he works at the Argonne National Laboratory (Chicago, USA).

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation