Practical IDL programming (Broché)

Liam-E Gumley

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  • Morgan Kaufmann

  • Paru le : 26/07/2001
  • 1 million de livres à découvrir
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72,62 €
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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 programs 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 alter 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.
    • Fundamentals of IDL syntax
    • Writing IDL programs
    • Input and output
    • Direct graphics
    • Plotting data
    • Displaying images
    • Creating graphical output
    • Graphical user interfaces
  • Date de parution : 26/07/2001
  • Editeur : Morgan Kaufmann
  • ISBN : 1-55860-700-5
  • EAN : 9781558607002
  • Présentation : Broché
  • Nb. de pages : 508 pages
  • Poids : 0.87 Kg
  • Dimensions : 18,8 cm × 23,5 cm × 2,8 cm

Biographie de Liam-E Gumley

Liam E. Gumley is a researcher at the Space Science and Engineering Center at the University of Wisconsin-Madison. He has developed his expertise in IDL by analyzing and visualizing large earth science datasets acquired by NASA earth-orbiting satellites and aircraft. He has also developed high-end application programs in IDL, including an application for visualizing data from a NASA airborne imaging sensor. He is a frequent contributor to the IDL Usenet newsgroup.

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Practical IDL programming
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