内容简介

Functional programming (FP) is a programming style emphasizing functions that return consistent and predictable results regardless of a program's state. As a result, functional code is easier to test and reuse, simpler to parallelize, and less prone to bugs. Scala is an emerging JVM language that offers strong support for FP. Its familiar syntax and transparent interoperability with existing Java libraries make Scala a great place to start learning FP.

Functional Programming in Scala is a serious tutorial for programmers looking to learn FP and apply it to the everyday business of coding. The book guides readers from basic techniques to advanced topics in a logical, concise, and clear progression. In it, you'll find concrete examples and exercises that open up the world of functional programming.

You'll discover simple but powerful ideas and techniques that cut through the complexity of modern software engineering, including writing multi-core and distributed programs. You'll learn how FP gives you high confidence in the correctness of your code and helps you design software at high levels of abstraction so that even very large systems become comprehensible at a glance.

WHAT'S INSIDE:

Functional programming from square one in clear, readable language

No prior Scala experience needed

Learn both the hows and whys of FP

No prior experience with FP or Scala is required. Perfect for programmers familiar with FP in other languages wishing to apply their knowledge in Scala.

作品目录

PART 1: INTRODUCTION TO FUNCTIONAL PROGRAMMING

1. What is functional programming? - FREE

2. Structuring functional programs - AVAILABLE

3. Functional data structures - AVAILABLE

4. Handling errors without exceptions - AVAILABLE

5. Strictness and laziness - AVAILABLE

6. Purely functional state - AVAILABLE

PART 2: FUNCTIONAL DESIGN AND COMBINATOR LIBRARIES

7. Purely functional parallelism - AVAILABLE

8. Property-based testing - AVAILABLE

9. Parser combinators

PART 3: COMMON STRUCTURES IN FUNCTIONAL DESIGN

10. Monoids

11. Monads

12. Applicative functors, traversable, and distributive data structures

PART 4: BREAKING THE RULES: EFFECTS AND I/O

13. External effects and I/O

14. Local effects and the ST monad

15. Stream processing and incremental I/O

Appendix A: Haskell, Scala and syntax

Appendix B: Scalaz, implicits, and large library organization