Scientific Data Analysis using Jython Scripting and Java
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
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Series Editors Professor Lakhmi Jain [email protected] Professor Xindong Wu [email protected]
For other titles published in this series, go to www.springer.com/series/4738
Sergei V. Chekanov
Scientific Data Analysis using Jython Scripting and Java
Dr. Sergei V. Chekanov Argonne National Laboratory (ANL) 9700 S. Cass Ave Argonne 60439 IL, USA [email protected]
AI&KP ISSN 1610-3947 ISBN 978-1-84996-286-5 e-ISBN 978-1-84996-287-2 DOI 10.1007/978-1-84996-287-2 Springer London Dordrecht Heidelberg New York British Library Cataloguing in Publication Data A catalogue record for this book is available from the British Library Library of Congress Control Number: 2010930974 © Springer-Verlag London Limited 2010 Apart from any fair dealing for the purposes of research or private study, or criticism or review, as permitted under the Copyright, Designs and Patents Act 1988, this publication may only be reproduced, stored or transmitted, in any form or by any means, with the prior permission in writing of the publishers, or in the case of reprographic reproduction in accordance with the terms of licenses issued by the Copyright Licensing Agency. Enquiries concerning reproduction outside those terms should be sent to the publishers. The use of registered names, trademarks, etc., in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant laws and regulations and therefore free for general use. The publisher makes no representation, express or implied, with regard to the accuracy of the information contained in this book and cannot accept any legal responsibility or liability for any errors or omissions that may be made. Printed on acid-free paper Springer is part of Springer Science+Business Media (www.springer.com)
This book is dedicated to my family
Preface
Over the course of the past twenty years I have learned many things relevant to this book while working in high-energy physics. As everyone in this field in the yearly to mid-90s, I was analyzing experimental data collected by particle colliders using the FORTRAN programming language. Then, gradually, I moved to C++ coding following the general trend at that time. I was not too satisfied with this transition: C++ looked overly complicated and C++ source codes were difficult to understand. With C++, we were significantly constrained by particular aspects of computer hardware and operating system (Linux and Unix) on which the source codes were compiled and linked against existing libraries. Thus, to bring the analysis environment outside the high-energy community to the Windows platform, used by most people, was almost impossible. I began serious development of ideas that eventually led to the jHepWork Java analysis environment in 2004, when I was struck by the simplicity and by the power of the Java Analysis Studio (JAS) program developed at the SLAC National Accelerator Laboratory (USA). One could run it even on the Windows platform, which was incredible for high-energy physics application
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