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Cover image for product 1119527503
Mueller
ISBN: 978-1-119-52750-3
Paperback
320 pages
May 2019
This is an out of stock title.
  • Description

An emphasis in trade articles today is on the use of vast amounts of data to perform all sorts of tasks, many of which involve the use of AI. However, data is only the raw information used to make AI goals achievable. To become useful, data is processed, filtered, and shaped in various ways using an even more impressive array of algorithms. Non-developers write most of the algorithms used today. They have no interest in older programming paradigms because the functional programming paradigm makes it possible to create code for testing algorithms in a manner that non-developers can understand. Functional Programming for Dummies presents examples in a manner that non-developers will understand using the literate programming approach originally created by Donald Knuth of Stanford University.

 

However, Functional Programming for Dummies goes further by exploring the differences between the pure (as represented by the Haskell language) and impure (as represented by Python) approaches to functional programming. The pure approach is best suited to researchers who have no desire to create production code, but do need to test algorithms fully and demonstrate their usefulness to peers. The impure approach is best suited to production environments because it’s possible to mix coding paradigms in a single application to produce a result more quickly. No other book on the market takes this two-pronged approach. A few books provide nearly useless overviews of many different languages, while most others focus on just one language, which means that the reader obtains an in-depth view of just one approach.

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