Functional Programming: A PragPub Anthology

Table of contents

1.  Introduction
2.  Acknowledgements
3. Part I. The Functional Paradigm
   1. 1. Functional Programming Is Big Again
      1. We’ve Seen This Movie Before
      2. New Arguments for Functional Programming
   2. 2. Functional Thinking for the Imperative Mind
      1. It’s About Functions
      2. It’s About Immutability
      3. It’s a Way of Thinking
4. Part II. Scala: A Hybrid Language
   1. 3. Scala and Functional Style
      1. Functional Purity
      2. Higher-Order Functions
      3. A Simple Example
      4. A Practical Example
      5. What About Debugging and Performance?
   2. 4. Working with Scala Collections
      1. Immutable Collections
      2. Mutable Collections
      3. Lazy Collections
   3. 5. Creating Higher-Order Functions in Scala
      1. Creating a Higher-Order Function
      2. Multiple Parameter Lists
      3. Function Values and the Loan Pattern
5. Part III. Clojure: The New Lisp
   1. 6. An Interview with Rich Hickey
      1. Why Clojure?
      2. The Infrastructure
      3. Compared to What?
   2. 7. Getting Clojure: Why Lisp Still Matters
      1. The REPL
      2. Vectors and Keywords
      3. Macros
   3. 8. Identity, Value, and State in Clojure
      1. The Object-Oriented Model
      2. The Clojure Model
   4. 9. Concurrent Programming in Clojure
      1. A "Simple" Concurrent Programming Problem
      2. Clojure’s Solution
6. Part IV. Elixir: Making Programming Fun Again
   1. 10. Patterns and Transformations in Elixir
      1. Pattern Matching
      2. Pattern Matching Structured Data
      3. Pattern Matching and Functions
      4. Transformation Is Job #1
   2. 11. Getting Functional with Elixir
      1. Anonymous Functions
      2. Named Functions
      3. A Practical Example
      4. Refactor to Functional Style
      5. What’s Different About This Code
   3. 12. Getting Parallel with Elixir
      1. The Actor Model
      2. Actors and Elixir
      3. Messages
      4. Monitoring Your Processes
      5. A Final Example
      6. Concurrency Is the Core of Elixir
7. Part V. Haskell: The Researcher’s Playground
   1. 13. Functional Thinking and Haskell
      1. What It’s All About
      2. A Quick Exercise
      3. Data Types Are Cheap
      4. Pattern Matching
      5. Recursion, Control, and Higher-Order Functions
      6. Further Features
   2. 14. Haskell Hands-On
      1. One Step at a Time
      2. Generating Candidates
      3. Dictionary Filtering
      4. Breadth-First Searching
      5. Using the Search
      6. Performance and Optimization
8. Part VI. Swift: Functional Programming for Mobile Apps
   1. 15. Swift: What You Need to Know
      1. Hello, Swift!
      2. Functional Swift
   2. 16. Functional Thinking in Swift
      1. Avoid Nil, Unless You Mean It
      2. Avoid Mutable State
      3. Use Higher-Order Functions
9. Part VII. Going Deeper
   1. 17. Protocols in Swift vs. Ruby and Elixir
      1. The Problem with Extensions
      2. The Case for Protocols
      3. Protocols and Extensions
   2. 18. Pattern Matching in Scala
      1. Counting Coins
      2. Matching All the Things
      3. Using Extractions
   3. 19. Concurrency in Scala
      1. Using Parallel Collections
      2. Knowing When to Use Concurrency
      3. Revisiting an Earlier Example
   4. 20. Clojure’s Exceptional Handling of Exceptions
      1. A Simple Example
      2. The Problem with Exceptions
      3. A Solution: Conditions
      4. Make Life Simple for Your Callers
      5. Laziness and Errors
   5. 21. A Testing Framework for Elixir
      1. Investing in Testing
      2. One Experiment, Several Measurements
      3. Optimizing Setup with TrueStory
      4. Condense and Combine the Measurements
      5. Controlling Setup Repetition with Nested Contexts
      6. Controlling Setup Repetition with Story Pipes
   6. 22. Building Test Data with Elixir
      1. The Typical Approaches
      2. Beautiful Data for Beautiful Tests
      3. Registering Templates and Prototypes with Forge
      4. Instantiating Template Entries
      5. Mutual Attributes and Having
      6. Creating Structs
      7. Creating Custom Entities
      8. Customizing Persistence
   7. 23. Haskell’s Type System
      1. TL;DR
      2. What Are Types For?
      3. A Concrete Example: Sorting
      4. The Language of Haskell’s Type System
      5. Type Inference and Type Checking
      6. Some Examples
      7. Comfort Break
      8. Interfaces and Type Classes
      9. Some Real-World Examples with Interfaces
      10. Pros and Cons—the 80/20 Rule
      11. Beyond Haskell: Dependent Types
      12. Propositions Are Types, and Proofs Are Programs
      13. Another Look at Sorting
      14. Back to Earth
   8. 24. A Haskell Project: Testing Native Code
      1. Our Native Code
      2. Our Model
      3. A Brief Introduction to Haskell’s FFI
      4. Wrapping Our Native Code in Haskell
      5. Experimenting with GHCi
      6. A Brief Introduction to QuickCheck
      7. Writing an Equivalence Property
      8. Defect Smashing
   9. 25. The Many Faces of Swift Functions
      1. Anatomy of Swift Functions
      2. Calling All Functions
      3. Calling on Methods
      4. Instance Methods Are Curried Functions
      5. Init: A Special Note
      6. Fancy Parameters
      7. Access Controls
      8. Fancy Return Types
      9. Nested Functions
   10. 26. A Functional Approach to Lua
       1. First-Class Functions in Lua
       2. Recursion in Lua
       3. Building with Functional Primitives
       4. A Simple Game Animation
10. A1. Meet the Authors
11.  Bibliography