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Practical IDL Programming

Practical IDL Programming

Practical IDL Programming
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Practical IDL Programming Paperback - 2001 - 1st Edition

by Gumley, Liam E

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Morgan Kaufmann. 1. Very Good. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.
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Details

  • Title Practical IDL Programming
  • Author Gumley, Liam E
  • Binding Paperback
  • Edition number 1st
  • Edition 1
  • Condition Used - Very good
  • Pages 528
  • Volumes 1
  • Language ENG
  • Publisher Morgan Kaufmann, United States
  • Publication date August 7, 2001
  • Bookseller's Inventory # 1558607005-11-1
  • ISBN 9781558607002 / 1558607005
  • Weight 2.29 lbs (1.04 kg)
  • Dimensions 9.25 x 7.5 x 1.14 in (23.50 x 19.05 x 2.90 cm)
  • Category Computers - Languages / Programming
  • Library of Congress subjects IDL (Computer program language)
  • Library of Congress Catalogue Number 2001090637
  • Dewey Decimal Code 005.133
  • Quantity available 1

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From the publisher

Increasingly, scientists and engineers must quickly and efficiently analyze and visualize extremely large sets of data. Interactive Data Language, IDL, was designed to address just this need. A popular data analysis and visualization programming environment, IDL is used worldwide by scientists and engineers in fields as diverse as the physical sciences, medical physics, and engineering test and analysis.

In Practical IDL Programming, Liam E. Gumley provides a solid foundation in the fundamentals of procedural programming in IDL. He presents concise information on how to develop IDL programmers that are well structured, reliable, and efficient. The example programs in the book demonstrate key concepts and provide functionality that can be applied immediately. In addition, the book offers readers practical tips and advice on IDL programming, which they would otherwise discover only after years of experience.

While only modest prior programming experience is assumed, readers with experience in any procedural language will quickly translate their skills to IDL, learning the best programming practices for this new environment. Scientists, engineers, and students in educational, government, and commercial research and development environments will all appreciate the author's guidance in helping them effectively analyze and visualize data.

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