Haskell in Depth

Haskell in Depth unlocks a new level of skill with this challenging language. Going beyond the basics of syntax and structure, this book opens up critical topics like advanced types, concurrency, and data processing.

Summary
Turn the corner from “Haskell student” to “Haskell developer.” Haskell in Depth explores the important language features and programming skills you’ll need to build production-quality software using Haskell. And along the way, you’ll pick up some interesting insights into why Haskell looks and works the way it does. Get ready to go deep!

About the technology
Software for high-precision tasks like financial transactions, defense systems, and scientific research must be absolutely, provably correct. As a purely functional programming language, Haskell enforces a mathematically rigorous approach that can lead to concise, efficient, and bug-free code. To write such code you’ll need deep understanding. You can get it from this book!

About the book
Haskell in Depth unlocks a new level of skill with this challenging language. Going beyond the basics of syntax and structure, this book opens up critical topics like advanced types, concurrency, and data processing. You’ll discover key parts of the Haskell ecosystem and master core design patterns that will transform how you write software.

What’s inside
•  Building applications, web services, and networking apps
•  Using sophisticated libraries like lens, singletons, and servant
•  Organizing projects with Cabal and Stack
•  Error-handling and testing
•  Pure parallelism for multicore processors

About the reader
For developers familiar with Haskell basics.

About the author
Vitaly Bragilevsky has been teaching Haskell and functional programming since 2008. He is a member of the GHC Steering Committee.

Table of Contents
PART 1. CORE HASKELL
1. Functions and types
2. Type classes
3. Developing an application: Stock quotes
PART 2. INTRODUCTION TO APPLICATION DESIGN
4. Haskell development with modules, packages, and projects
5. Monads as practical functionality providers
6. Structuring programs with monad transformers
PART 3. QUALITY ASSURANCE
7. Error handling and logging
8. Writing tests
9. Haskell data and code at run time
10. Benchmarking and profiling
PART 4. ADVANCED HASKELL
11. Type system advances
12. Metaprogramming in Haskell
13. More about types
PART 5. HASKELL TOOLKIT
14. Data-processing pipelines
15. Working with relational databases
16. Concurrency