Practical IDL Programming. Cet article n’est pas disponible.
13 évaluations par Goodreads
Langue : anglais
Edité par Elsevier Science & Technology, 2001
- Éd. originale
- Livre broché
- Occasion

Vendeur : Better World Books: West, Reno, NV, Etats-UnisBetter World Books: West
Vendeur avec une évaluation de 5 étoiles
Vendeur AbeBooks depuis 14 mars 2016
Indisponible
Livre broché
Etat: Occasion - Assez bon
EUR 6,49
A propos de cet article
Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
N° de réf. du vendeur 15662064-20
- Titre
- Practical IDL Programming
- Auteur
- Gumley, Liam E.
- Éditeur
- Elsevier Science & Technology
- Année de publication
- 2001
- État de l'article
- Very Good
- Reliure
- Couverture souple
- Langue
- anglais
- ISBN à 10 chiffres
- 1558607005
- ISBN à 13 chiffres
- 9781558607002
- Édition
- 1st.
- Poids de l'article
- 1,962 livre
- Dimensions
- N/A
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.
« Synopsis » peut appartenir à une autre édition de cet ouvrage.
À propos de l’auteur
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 si a frequent contributor to the IDL Usenet newsgroup.
« A propos de ce titre » peut appartenir à une autre édition de cet ouvrage.