Real World Haskell: Code You Can Believe In 1st Edition

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.

About the Author

Bryan O Sullivan is an Irish hacker writer and 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 range of diverse Haskell projects, including practical libraries, such as Data.ByteString and Data.Binary, as well as applying the Haskell philosophy to real-world applications including компілятори, 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.