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简介
Functional Programming in Scala 豆 9.2分
资源最后更新于 2020-08-23 08:22:24
作者:Paul Chiusano
出版社:Softbound print
出版日期:2014-01
ISBN:9781617290657
文件格式: pdf
标签: Scala 函数式编程 scala functional-programming FP 编程 计算机科学 programming
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...
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
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