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Beginning Haskell: A Project-Based Approach

Beginning Haskell: A Project-Based Approach

Authors
Publisher Springer, Berlin
Year
Pages 428
Version paperback
Language English
ISBN 9781430262503
Categories Programming & scripting languages: general
Delivery to United States

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Book description

Beginning Haskell provides a broad-based 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. The book takes a project-based approach to learning the language that is unified around the building of a web-based storefront. Excellent coverage is given to the Haskell ecosystem and supporting tools. These include the Cabal build tool for managing projects and modules, the QuickCheck tool for software testing, web frameworks such as Yesud and Snap, and the Persistent and Esqueleto database access libraries.
Functional programming is gathering momentum, allowing programmers to express themselves in a more concise way, reducing boilerplate and increasing the safety of code. Indeed, mainstream languages such as C sharp and Java are adopting features from functional programming, and from languages implementing that paradigm. 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, and Beginning Haskell the perfect book to show off the language and what it can do.
Takes you through a series of projects showing the different parts of the language. Provides an overview of the most important libraries and tools in the Haskell ecosystem. Teaches you how to apply functional design patterns in real-world scenarios.

Beginning Haskell: A Project-Based Approach

Table of contents

Part I: First Steps

1. Going Functional

2. Declaring the Data Model

3. Reusing Code through Lists

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. Parallelizing the Execution

Part III: Resource Handling

9. Dealing with Files: IO and Conduit

10. Builders and Parsers

11. Safe Database Access

12. Web Applications

Part IV: Domain Specific Languages

13. Strong Types

14. Attribute Grammars

Part V: Engineering the Store

15. Documenting, Testing, and Verifying

16. Architecting Your Application

Appendix A

Appendix B

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