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Real World Haskell Paperback – 5 Dec 2008

3.9 out of 5 stars 13 customer reviews

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Product Description

Book Description

Code You Can Believe In

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.

Don Stewart is an Australian hacker based in Portland, Oregon. Don has been involved in a diverse range of Haskell projects, including practical libraries, such as Data.ByteString and Data.Binary, as well as applying the Haskell philosophy to real-world applications including compilers, linkers, text editors, network servers, and systems software. His recent work has focused on optimizing Haskell for high-performance scenarios, using techniques from term rewriting.


Customer Reviews

3.9 out of 5 stars
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Format: Paperback
I have mixed feelings about this book. My girlfriend thought it was my favourite book because I was always reading it and it became very well-worn. However, the real reason I couldn't put it down was because I couldn't understand it. The main problems with the book are:

1. The code examples are too interdependent. If you get a mental block (or get bored), you can't jump to another chapter to `take a bite from a different side of the cake' because most code just builds on the code developed in previous chapters. So if you skipped the previous chapter you're stuffed. Even if you didn't skip the previous chapter, you will be doing well if you can piece together the `actual' code from all the fragments littered throughout the chapter - some of which are red herrings (ie code fragments that are there to show you how not to do it).
2. There is a step change in pace around chapter 10, which goes from the pace of a Sunday drive to light-speed, almost as if there was a change of author. The chapter is way too dense and tries to get too many concepts across at once. This is also the chapter that has the greatest number of mistakes, so for me it was like hitting a wall, my progress practically slowed to a halt and I was seriously debating whether to continue with the language.

That said there is some good stuff in here, it just needs a re-think. If you are new to Haskell, I recommend you check out `Learn You A Haskell for Great Good' first and come back here if you are a masochist.
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Format: Paperback
I agree with the other readers who say they just got frustrated by the author's inability to illustrate his point through simple, atomic and self explanatory examples. I enjoyed the first few chapters, because the author had not yet built up a critical mass of backward references, but after that I wanted to skip a whole load of stuff that wasn't relevant to me. However skipping ahead to chapters on things like Monads, I find it referring back to previous chapters, which in turn refer back to previous chapters and so on. I tried to read the whole thing linearly, but the examples are too specialised for me to bothered by them. I just can't bring myself to care about bar code reading programs, no matter how much I try - and there is a whole chapter on this!
The book isn't all bad, the early chapters are good, and I some Haskell concepts did `click' for me from reading this book. The author's style when steered away from examples that run into pages is clear and good.
The problem is its combination of being rather long, and that it *really* has to be read in a linear fashion.

You can pick up the language just as well using online tutorials and the user mail list is pretty helpful if you get lost on concepts like Monads. I think there are far better tutorials on Monads on the net now than this book, although I accept there are a whole load more terrible explanations on the net, and you'll need to read 10 bad ones to find 1 good one - bit it is the quickest way to learn the concept.

What Haskell needs is author capable of producing a book like the "Effective C++" series. It assumes fairly basic knowledge of the language (you can pick that up from anywhere).
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Format: Paperback 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?
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