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F# for Scientists
 
 

F# for Scientists [Kindle Edition]

Jon Harrop , Don Syme
3.6 out of 5 stars  See all reviews (5 customer reviews)

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Product Description

Review

"The hardbound book is a really solid treatment." (Computing Reviews, February 5, 2009)

Product Description

"This work strikes a balance between the pure functional aspects of F# and the object-oriented and imperative features that make it so useful in practice, enable .NET integration, and make large-scale data processing possible."
—Thore Graepel, PhD, Researcher, Microsoft Research Ltd.

Over the next five years, F# is expected to become one of the world's most popular functional programming languages for scientists of all disciplines working on the Windows platform. F# is free and, unlike MATLAB® and other software with numerical/scientific origins, is a full-fledged programming language.

Developed in consultation with Don Syme of Microsoft Research Ltd.—who wrote the language—F# for Scientists explains and demonstrates the powerful features of this important new programming language. The book assumes no prior experience and guides the reader from the basics of computer programming to the implementation of state-of-the-art algorithms.

F# for Scientists begins with coverage of introductory material in the areas of functional programming, .NET, and scientific computing, and goes on to explore:

  • Program structure

  • Optimization

  • Data structures

  • Libraries

  • Numerical analysis

  • Databases

  • Input and output

  • Interoperability

  • Visualization

Screenshots of development using Visual Studio are used to illustrate compilation, debugging, and interactive use, while complete examples of a few whole programs are included to give readers a complete view of F#'s capabilities.

Written in a clear and concise style, F# for Scientists is well suited for researchers, scientists, and developers who want to program under the Windows platform. It also serves as an ideal supplemental text for advanced undergraduate and graduate students with a background in science or engineering.


Product details

  • Format: Kindle Edition
  • File Size: 1687 KB
  • Print Length: 368 pages
  • Publisher: Wiley-Interscience; 1 edition (21 Sep 2011)
  • Sold by: Amazon Media EU S.à r.l.
  • Language English
  • ASIN: B005PS97RO
  • Text-to-Speech: Enabled
  • Average Customer Review: 3.6 out of 5 stars  See all reviews (5 customer reviews)
  • Amazon Bestsellers Rank: #171,577 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
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More About the Author

Jon D. Harrop
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Customer Reviews

Most Helpful Customer Reviews
3 of 3 people found the following review helpful
Format:Hardcover
Don't expect to find a full description of the language - in this sense the book is not self contained - but there are other books for that. This book is for getting the best out of F#. Harrop gives the reader a true idea of what functional programming is really about, what it should be used for and how it should be used.

If you want to learn how to walk, buy Expert F# Hardback (Expert's Voice in .Net) or Foundations of F# (Expert's Voice in .Net) (they are both very good). But if you want to run, jump and fly, buy this one.

It's just a shame it's too short!
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5 of 6 people found the following review helpful
Excellent 17 Jan 2009
Format:Hardcover
Excellent from first to last. Whilst the extensive science-oriented examples will benefit F#'s current market - efficient scientific and financial computing - the clarity of writing will benefit all programmers approaching F# for the first time.

Newcomers will not find another dry description of the programming language but rather an exploration of the ideas and principles of functional programming that will benefit their technique in whatever language they use. This is most brilliantly illustrated by the visualization chapter and by the sections dealing with XML processing in which functional techniques are used to produce solutions far more succinct, yet still more expressive, than their imperative or object-oriented cousins.

The material is challenging - it is intended to be - but persevering will bring far greater rewards than ploughing through the latest O'Reilly cookbook. Learning functional programming will improve the skills of every programmer, and so will reading this book.
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Format:Hardcover
I think for scientists wanting to understand functional programming (F# or Haskell) then I would suggest looking for something with a bit more rigour:

Purely Functional Data Structures
Pearls of Functional Algorithm Design

I think some of the benchmarks published have been disputed elsewhere too.

Maybe the treatment of 'mutable' data could be better handled throughout the book.
Feels a bit rushed.
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