Get Programming with Haskell

Summary

Get Programming with Haskell introduces you to the Haskell language without drowning you in academic jargon and heavy functional programming theory. By working through 43 easy-to-follow lessons, you'll learn Haskell the best possible way&;by doing Haskell!

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Technology

Programming languages often differ only around the edges&;a few keywords, libraries, or platform choices. Haskell gives you an entirely new point of view. To the software pioneer Alan Kay, a change in perspective can be worth 80 IQ points and Haskellers agree on the dramatic bene ts of thinking the Haskell way&;thinking functionally, with type safety, mathematical certainty, and more. In this hands-on book, that's exactly what you'll learn to do.

About the Book

Get Programming with Haskell leads you through short lessons, examples, and exercises designed to make Haskell your own. It has crystal-clear illustrations and guided practice. You will write and test dozens of interesting programs and dive into custom Haskell modules. You will gain a new perspective on programming plus the practical ability to use Haskell in the everyday world. (The 80 IQ points: not guaranteed.)

What's Inside

• Thinking in Haskell
• Functional programming basics
• Programming in types
• Real-world applications for Haskell

About the Reader

Written for readers who know one or more programming languages.

About The Author

Will Kurt currently works as a data scientist. He writes a blog at www.countbayesie.com, explaining data science to normal people.

Table of Contents

• Lesson 1 Getting started with Haskell

Unit 1 - FOUNDATIONS OF FUNCTIONAL PROGRAMMING

• Lesson 2 Functions and functional programming
• Lesson 3 Lambda functions and lexical scope
• Lesson 4 First-class functions
• Lesson 5 Closures and partial application
• Lesson 6 Lists
• Lesson 7 Rules for recursion and pattern matching
• Lesson 8 Writing recursive functions
• Lesson 9 Higher-order functions
• Lesson 10 Capstone: Functional object-oriented programming with robots!

Unit 2 - INTRODUCING TYPES

• Lesson 11 Type basics
• Lesson 12 Creating your own types
• Lesson 13 Type classes
• Lesson 14 Using type classes
• Lesson 15 Capstone: Secret messages!

Unit 3 - PROGRAMMING IN TYPES

• Lesson 16 Creating types with "and" and "or"
• Lesson 17 Design by composition&;Semigroups and Monoids
• Lesson 18 Parameterized types
• Lesson 19 The Maybe type: dealing with missing values
• Lesson 20 Capstone: Time series

Unit 4 - IO IN HASKELL

• Lesson 21 Hello World!&;introducing IO types
• Lesson 22 Interacting with the command line and lazy I/O
• Lesson 23 Working with text and Unicode
• Lesson 24 Working with files
• Lesson 25 Working with binary data
• Lesson 26 Capstone: Processing binary files and book data

Unit 5 - WORKING WITH TYPE IN A CONTEXT

• Lesson 27 The Functor type class
• Lesson 28 A peek at the Applicative type class: using functions in a context
• Lesson 29 Lists as context: a deeper look at the Applicative type class
• Lesson 30 Introducing the Monad type class
• Lesson 31 Making Monads easier with donotation
• Lesson 32 The list monad and list comprehensions
• Lesson 33 Capstone: SQL-like queries in Haskell

Unit 6 - ORGANIZING CODE AND BUILDING PROJECTS

• Lesson 34 Organizing Haskell code with modules
• Lesson 35 Building projects with stack
• Lesson 36 Property testing with QuickCheck
• Lesson 37 Capstone: Building a prime-number library

Unit 7 - PRACTICAL HASKELL

• Lesson 38 Errors in Haskell and the Either type
• Lesson 39 Making HTTP requests in Haskell
• Lesson 40 Working with JSON data by using Aeson
• Lesson 41 Using databases in Haskell
• Lesson 42 Efficient, stateful arrays in Haskell
  
  
• Afterword - What's next?
• Appendix - Sample answers to exercises

Will Kurt currently works as a Data Scientist at Quick Sprout. With a formal background in both Computer Science (MS) and English Literature (BA) he is fascinated with explaining complex technical topics as clearly and generally as possible. He has taught a course section on Haskell at the University of Nevada, Reno and given workshops on Functional Programming. He also blogs about probability at CountBayesie.com.