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TitlePractical Haskell [electronic resource] : A Real World Guide to Programming / by Alejandro Serrano Mena
ImprintBerkeley, CA : Apress : Imprint: Apress, 2019
Edition 2nd ed. 2019
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Descript XXII, 595 p. 31 illus., 3 illus. in color. online resource


Get a practical, hands-on introduction to the Haskell language, its libraries and environment, and to the functional programming paradigm that is fast growing in importance in the software industry. This book contains excellent coverage of the Haskell ecosystem and supporting tools, which include the Cabal build tool for managing projects and modules, the HUnit and QuickCheck tools for software testing, the Scotty framework for developing web applications, Persistent and Esqueleto for database access, and parallel and distributed programming libraries. You’ll see how functional programming is gathering momentum, allowing you to express yourself in a more concise way, reducing boilerplate, and increasing the safety of your code. Haskell is an elegant and noise-free pure functional language with a long history, having a huge number of library contributors and an active community. This makes Haskell the best tool for both learning and applying functional programming, andPractical Haskell takes advantage of this to show off the language and what it can do. You will: Get started programming with Haskell Examine the different parts of the language Gain an overview of the most important libraries and tools in the Haskell ecosystem Apply functional patterns in real-world scenarios Carry out data mining Program using Monads Handle resources with Haskell


Part I: First Steps -- 1. Going Functional -- 2. Declaring the Data Model -- 3. Increasing Code Reuse -- 4. Using Containers and Type Classes -- 5. Laziness and Infinite Structures -- Part II: Data Mining -- 6. Knowing Your Clients Using Monads -- 7. More Monads: Now for Recommendations -- 8. Working in Several Cores -- Part III: Resource Handling -- 9. Dealing with Files: IO and Conduit -- 10. Building and Parsing Text -- 11. Safe Database Access -- 12. Web Applications -- Part IV: Domain Specific Languages -- 13. Strong Types -- 14. Interpreting Offers with Attributes -- Part V: Engineering the Store -- 15. Documenting, Testing, and Verifying -- 16. Architecting Your Application -- 17. Looking Further -- Appendix. Time Travelling with Haskell

Computer science Programming Languages Compilers Interpreters. Programming Techniques.


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