In today’s information age, scientists and engineers must quickly and efficiently analyze extremely large sets of data. One of the best tools to accomplish this is Interactive Data Language (IDL�), a programming and visualization environment that facilitates numerical modeling, data analysis, and image processing. IDL’s high-level language and powerful graphics capabilities allow users to write more flexible programs much faster than is possible with other programming languages.

An Introduction to Programming with IDL enables students new to programming, as well as those with experience in other programming languages, to rapidly harness IDL’s capabilities: fast, interactive performance; array syntax; dynamic data typing; and built-in graphics. Each concept is illustrated with sample code, including many complete short programs.

Margin notes throughout the text quickly point readers to the relevant sections of IDL manuals
End-of-chapter summaries and exercises help reinforce learning
Students who purchase the book are eligible for a substantial discount on a student version of the IDL software

From the Back Cover:

In today's information age, scientists and engineers must quickly and efficiently analyze extremely large sets of data. One of the best tools to accomplish this is Interactive Data Language (IDL�), a programming and visualization environment that facilitates numerical modeling, data analysis, and image processing. IDL's high-level language and powerful graphics capabilities allow users to write more flexible programs much faster than is possible with other programming languages.

An Introduction to Programming with IDL enables students new to programming, as well as those with experience in other programming languages, to rapidly harness IDL's capabilities: fast, interactive performance; array syntax; dynamic data typing and built-in graphics. Each concept is illustrated with sample code, including many complete short programs.

This text can be used in an introductory scientific programming course or as a supplement for advanced science and engineering courses. Researchers and professionals in fields ranging from the earth sciences to physics, engineering, astronomy, and medicine will also enjoy using this introduction to IDL for self-paced learning.

Key Features:

Margin notes throughout the text quickly point readers to the relevant sections of IDL manuals
End-of-chapter summaries and exercises help reinforce learning
Students who purchase the book are eligible for a substantial discount on a student version of the IDL software

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