By Kenneth P. Bowman

ISBN-10: 0080489273

ISBN-13: 9780080489278

ISBN-10: 012088559X

ISBN-13: 9780120885596

In modern day info age, scientists and engineers needs to quick and successfully learn tremendous huge units of information. the most effective instruments to complete this is often Interactive information Language (IDLГ‚В®), a programming and visualization atmosphere that enables numerical modeling, information research, and picture processing. IDL's high-level language and strong photographs services enable clients to write down extra versatile courses a lot swifter than is feasible with different programming languages. An advent to Programming with IDL permits scholars new to programming, in addition to people with event in different programming languages, to swiftly harness IDL's functions: speedy, interactive functionality; array syntax; dynamic information typing; and integrated pix. each one idea is illustrated with pattern code, together with many whole brief courses. Г‚В·Margin notes through the textual content fast element readers to the proper sections of IDL manuals Г‚В·End-of-chapter summaries and workouts support toughen studying Г‚В·Students who buy the publication are eligible for a considerable on a scholar model of the IDL software program

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**Extra resources for An Introduction to Programming with IDL: Interactive Data Language**

**Sample text**

If you need to use integers greater than about ±2 billion, you can use 64-bit integers (LONG64s). There are three potential problems that you should always be aware of when using integers: arithmetic operations that result in values outside the range of the integer type used; division, which discards any fractional part of a result; and division by zero. With all of these limitations, why use integer variable types at all? Why not just use floating-point numbers? One answer is that floating-point types have their own limitations, as will be discussed in Chapter 6.

With the IEEE NaN, the special value propagates through the calculation, and the final result will reveal an obvious problem. Many built-in IDL functions automatically exclude all NaNs if you use the proper keyword. Here is an example. 0000 See the TOTAL function in IDL Reference Guide. 00000 Next, we replace one of the values in the array by a NaN to represent a missing observation. Conveniently, IDL has built-in constants containing the special IEEE values. VALUES. EXCEPT = 2 and rerun your calculation.

10 Exercises 1. Try some interactive experiments to find the largest values of x for which you can compute e x and e −x without floating-point underflow or overflow errors. Try the calculations using both single- and double-precision numbers. 2. Try some interactive experiments to find the smallest value of x for which you can compute sin(x) without floating-point underflow errors. Try the calculations using both single- and double-precision numbers. 7 Using Arrays This chapter describes how to create arrays and use them efficiently to do some common arithmetic operations using IDL’s built-in array syntax.

### An Introduction to Programming with IDL: Interactive Data Language by Kenneth P. Bowman

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