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Real World Haskell Paperback – Illustrated, 30 December 2008

4.6 out of 5 stars 117 ratings
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This easy-to-use, fast-moving tutorial introduces you to functional programming with Haskell. You'll learn how to use Haskell in a variety of practical ways, from short scripts to large and demanding applications. Real World Haskell takes you through the basics of functional programming at a brisk pace, and then helps you increase your understanding of Haskell in real-world issues like I/O, performance, dealing with data, concurrency, and more as you move through each chapter.
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  1. Print length
    710 pages
  2. Language
    English
  3. Publisher
    O'Reilly Media
  4. Publication date
    30 December 2008
  5. Dimensions
    17.78 x 4.32 x 23.34 cm
  6. ISBN-10
    0596514980
  7. ISBN-13
    978-0596514983
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About the Author

Bryan O'Sullivan is an Irish hacker and writer who likes distributed systems, open source software, and programming languages. He was a member of the initial design team for the Jini network service architecture (subsequently open sourced as Apache River). He has made significant contributions to, and written a book about, the popular Mercurial revision control system. He lives in San Francisco with his wife and sons. Whenever he can, he runs off to climb rocks.John Goerzen is an American hacker and author. He has written a number of real-world Haskell libraries and applications, including the HDBC database interface, the ConfigFile configuration file interface, a podcast downloader, and various other libraries relating to networks, parsing, logging, and POSIX code. John has been a developer for the Debian GNU/Linux operating system project for over 10 years and maintains numerous Haskell libraries and code for Debian. He also served as President of Software in the Public Interest, Inc., the legal parent organization of Debian. John lives in rural Kansas with his wife and son, where he enjoys photography and geocaching.Donald Stewart is an Australian hacker, currently completing his computer science doctorate at the University of New South Wales, Sydney. Don has been involved in a diverse range of Haskell projects, including practical libraries such as Data.ByteString and Data.Binary, as well applying the Haskell philosophy to real world applications, including compilers, linkers, text editors, network servers and systems software. His recent work has focused on optimising Haskell for high-performance scenarios, using techniques from term rewriting. He is the current editor of the Haskell Weekly News.

Product details

  • Publisher ‏ : ‎ O'Reilly Media; Illustrated edition (30 December 2008)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 710 pages
  • ISBN-10 ‏ : ‎ 0596514980
  • ISBN-13 ‏ : ‎ 978-0596514983
  • Dimensions ‏ : ‎ 17.78 x 4.32 x 23.34 cm
  • Customer Reviews:
    4.6 out of 5 stars 117 ratings

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  • tommaso
    5.0 out of 5 stars wow!
    Reviewed in Italy on 27 February 2025
    Verified Purchase
    wow! many years ago I wrote my thesis on ML type system and its extensions possibilities, and now that I'm sixty this book is really a joy.
    Haskell represents the legacy of ML philosophy and this book makes it available to everyone with clarity and freshness. I strongly advice it even if you will continue to program in c javascript php etc.
    haskell helps you to think in a new clear way!
    Report
  • Avid Reader
    5.0 out of 5 stars Excellent book to get you into Haskell
    Reviewed in the United Kingdom on 14 December 2016
    Verified Purchase
    After a lifetime of programming in declarative languages like C, C++ and Java, I find it difficult to switch into the functional programming mindset. I suspect this is more to do with my age than anything else. I’m particularly interested in how to build systems that effectively make use of modern multi-core computers, assuming that we’ll soon have computers with hundreds of cores. In spite of what some experts say, I have grave doubts about our ability to reliably build such systems in the likes of Java; yes, there will some people who will be able to do it, but how will the common or garden developer do it?

    Enter functional programming. Erlang has the ability to succeed with multi-cores, though I have my doubts about its efficiency; it’s great for network-heavy applications, but is it quite so great for compute-intensive apps? I’m not convinced yet that functional programming (Erlang excepted) has the ability *right now* to build hugely scalable multi-core apps - but I think the potential is there, and any developer putting the effort into becoming proficient at functional programming may be hugely rewarded in the future.

    Given this hypothesis, how to go about it? Haskell has a reputation of being an extremely pure functional language. It also has a reputation of being very hard to learn. This is where “Real World Haskell” comes in. If you study this book right to the end, you’ll have made the mindset switch. Be warned though, it has 650 pages and is heavy going. Not because it’s badly written; on the contrary, it’s written very well. It’s because there’s a huge amount of technical stuff to put over. Recursion, folds, partial functions, lambda functions, typeclasses, and monads anyone? (Write programs using recursion in Java etc, and get used to stack overflows; not the best way to write highly stable apps).

    Back in the 1990s I went through another mindset switch - from procedural thinking to object thinking. I’m finding this one harder. After studying a couple of hundred pages, and having studied Erlang previously, I began to experience the mindset switch. Unfortunately it was fragile, one minute I was thinking functionally and the next back to declarative. The real world intervened though, and I had to stop the study; so I slid back to declarative thinking. Real soon now I’m going to take another run at it. Of all the Haskell books, this is the one I’ll use. I’ve found others either too simple or too academic; for me, this book is just right.
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  • Justin Hanekom
    5.0 out of 5 stars Five Stars
    Reviewed in Canada on 24 July 2014
    Verified Purchase
    I love this computer language and I love this book. Well done!
    Report
  • GB
    5.0 out of 5 stars Not an easy read, but definitely brilliant and worth studying
    Reviewed in Germany on 16 May 2014
    Verified Purchase
    Having a background in science, with this book I felt the way I used to feel with college textbooks back in my student days - you're happy if you can digest a page or two in a day. But once you understood the stuff, the knowledge becomes a part of your internal thinking and reasoning.

    Chapter 10 with its ad-hoc monadic parser is ``a newbie killer''. The discussions of parseByte on the website with the text of the book helps. Reading on the state monad helps to understand the chapter too.
    Report
  • Max Cantor
    5.0 out of 5 stars Excellent, paradigm shifting book
    Reviewed in the United States on 5 January 2009
    Verified Purchase
    Before purchasing RWH, I had already read the whole book on its website in beta form. Even though I have a decent amount of haskell experience, I was very very pleased with this book. So much so, that I bought the hard copy to have as a reference and because part of me felt like I owed to the authors. I should also note that the authors are often in #haskell and each of them have been extremely helpful to me in the past.

    The authors do a great job of explaining the value of taking on the challenge of coding in a pure, functional language. As clock speeds stagnate and the number of cores available to programmers increases, this will only become truer with time. As the authors demonstrate, Haskell is uniquely positioned to take advantage of this new paradigm. The other paradigm shift is that this is the first major book (AFAIK) to address Haskell from a practical as opposed to academic perspective. It does so with shining colors.

    I can't recommend RWH strongly enough for anyone considering Haskell. As a last note, even if you can't conceive of a single time that you will ever need to use Haskell, learn it anyway. It will blow your mind. Check the canonical powerset of a list function below if you still need convincing:

    powerset :: [a] -> 
    powerset = filterM (const [True, False])
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