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Get Programming with Scala
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Scala is a multi-style programming language for the JVM that supports both object-oriented and functional programming. Master Scala, and you'll be well-equipped to match your programming approach to the type of problem you're dealing with. Packed with examples and exercises, Get Programming with Scala is perfect starting point for developers with some OO knowledge who want to learn Scala and pick up a few FP skills along the way.Explains the basics of the language in a very simple and captivating way.
Table of Contents takes you straight to the bookdetailed table of contents
Unit 0: Hello Scala!
Lesson 1 Why Scala?
1.1 Why Scala?
1.2 Scala and the JVM
1.3 Scala’s key features
1.4 Summary
Lesson 2 Scala — The REPL
2.1 The REPL Installation
2.2 The REPL Commands
2.3 The REPL Code Evaluation
2.4 Summary
Lesson 3 SBT — Scala Build Tool
3.1 Why SBT?
3.2 SBT Installation
3.3 SBT Commands
3.4 Your first SBT Project
3.5 SBT Project Structure
3.6 Summary
Unit 1: The Basics
Lesson 4 Values and Variables
4.1 Values
4.2 Variables
4.3 Summary
4.4 Answers to quick checks
Lesson 5 Conditional Statements and Loops
5.1 If…else statement
5.2 While Loop
5.3 For Loop
5.4 Summary
5.5 Answers to quick checks
Lesson 6 Function as the most fundamental block of code
6.1 Functions
6.2 Summary
6.3 Answers to Quick Checks
Lesson 7 Classes and Subclasses to represent the world
7.1 Class
7.2 Subclass
7.3 Abstract class
7.4 Summary
7.5 Answers to Quick Checks
Lesson 8 Capstone 1: Let’s build a vending machine!
8.1 The Vending Machine
8.1.1 The VendingMachine class and its APIs
8.1.2 The Vending Machine and its operations
8.1.3 Let’s try it out
8.2 The ugly bits of our solution
8.3 Summary
Unit 2: Object-Oriented Fundamentals
Lesson 9 Import and Create Packages
9.1 Import an existing Package
9.2 Create a Package
9.3 Summary
9.4 Answers to Quick Checks
Lesson 10 Scope your code with Access Modifiers
10.1 Public, the Default Access Modifier
10.2 Private
10.3 Protected
10.4 Which Access Modifier to use?
10.5 Summary
10.6 Answers to Quick Checks
Lesson 11 Singleton Objects
11.1 Object
11.1.1 Executable Object
11.2 Companion Object
11.2.1 The Apply Method
11.3 Summary
11.4 Answers to Quick Checks
Lesson 12 Traits as interfaces
12.1 Defining traits
12.2 Extending traits
12.3 Seal traits
12.4 Summary
12.5 Answers to Quick Checks
Lesson 13 Capstone 2: What time is it?
13.1 What time is it?
13.1.1 SBT Project Setup
13.1.2 The Business Logic Layer
13.1.3 The HTTP server
13.1.4 Let’s try it out!
13.2 The ugly bits of our solution
13.3 Summary
Unit 3: HTTP Server
Lesson 14 Pattern Matching
14.1 If…else Statement versus Pattern Matching
14.2 Sealed Pattern Matching
14.3 Summary
14.4 Answers to quick checks
Lesson 15 Anonymous Functions
15.1 Function versus Anonymous Function
15.2 Concise notation for Anonymous Functions
15.3 Summary
15.4 Answers to Quick Checks
Lesson 16 Partial Functions
16.1 Partial Functions
16.1.1 Implementing a Partial Function
16.1.2 Function composition
16.2 Use case: Exception Handling
16.3 Summary
16.4 Answers to Quick Checks
Lesson 17 HTTP API with http4s
17.1 An overview of http4s
17.2 A Ping Server using http4s
17.2.1 Initial Setup
17.2.2 Implementing an HttpService
17.2.3 Building a StreamApp
17.2.4 Let’s try it out!
17.3 Summary
17.4 Answers to Quick Checks
Lesson 18 Capstone 3: The Time HTTP Server
18.1 What time is it?
18.1.1 SBT Project Setup
18.1.2 The TimePrinter class
18.1.3 The API Routes
18.1.4 The HTTP server
18.1.5 Let’s try it out!
18.2 The ugly bits of our solution
18.3 Summary
Unit 4: Immutable Data and Structures
Lesson 19 Case Classes to structure your data
19.1 Case class
19.2 Pattern Matching and Case Classes
19.3 Case object
19.4 Summary
19.5 Answers to Quick Checks
Lesson 20 High Order Functions
20.1 Functions as Parameters
20.2 Functions as return values
20.3 Summary
20.4 Answers to Quick Checks
Lesson 21 What is Purity?
21.1 A definition of Purity
21.2 Differentiating between pure and impure functions
21.3 Summary
21.4 Answers to Quick Checks
Lesson 22 Option
22.1 Why Option?
22.2 Creating an Option
22.3 Pattern Matching on Option
22.4 Summary
22.5 Answers to Quick Checks
Lesson 23 Working with Option: map and flatMap
23.1 Transforming an Option
23.1.1 The map function
23.1.2 The flatten function
23.1.3 The flatMap function
23.2 Summary
23.3 Answers to Quick Checks
Lesson 24 Working with Option: for-comprehension
24.1 For-comprehension on Option
24.1.1 For-comprehension as syntactic sugar for nested map and flatMap calls
24.1.2 Filtering values within For-Comprehension
24.2 Other operations on Option
24.3 Summary
24.4 Answers to Quick Checks
Lesson 25 Tuple and Unapply
25.1 Tuples
25.2 Implementing the Unapply Method
25.3 Summary
25.4 Answers to Quick Checks
Lesson 26 Capstone 4: Rock, Paper, Scissors, Lizard, Spock!
26.1 Implementing Rock, Paper, Scissors, Lizard, Spock!
26.1.1 SBT Project Setup and Packages
26.1.2 Defining a Symbol
26.1.3 Representing a Player
26.1.4 Defining a Game
26.1.5 The API Routes
26.1.6 The HTTP Server
26.1.7 Let’s try it out!
26.2 The ugly bits of our solution
26.3 Summary
Unit 5: Collections
Lesson 27: List
Lesson 28: Working with List
Lesson 29: Set
Lesson 30: Map
Lesson 31: Testing with ScalaTest
Lesson 32: Capstone 5
Unit 6: Error handling and data storage
Lesson 33: Either
Lesson 34: Try: an operation that can fail
Lesson 35: Working with Try
Lesson 36: Database queries with quill
Lesson 37: Capstone 6
Unit 7: Concurrency
Lesson 38: Future
Lesson 39: Working with Future: map and flatMap
Lesson 40: Working with Future: for-comprehension
Lesson 41: Future and Promise
Lesson 42: Capstone 7
Unit 8: JSON (de)serialization
Lesson 43: Traits as composable block of codes
Lesson 44: Lazy values
Lesson 45: By Name Parameters
Lesson 46: Implicit functions and values
Lesson 47: The IO type
Lesson 48: JSON (De)serialization with circe
Lesson 49: Capstone 8
About the Technology
Although it’s a relative newcomer, Scala turned out to be the right language at the right time, opening up the world of functional programming to the JVM. Scala looks a lot like Java, and it interacts seamlessly with familiar Java libraries and tools. Since it fully supports functional programming, Scala gives you the freedom to choose the right programming style exactly when it benefits you. Scala can be daunting at first, especially if you’re seeing FP ideas for the first time. Fortunately, with the examples and exercises in this book, you’ll get over the initial learning hump quickly and start doing interesting projects before you know it!About the book
Get Programming with Scala teaches you the core skills you'll need to code with Scala. This book lives up to its name! You'll learn the ins and outs of Scala by actually programming with it, thanks to the practical examples, exercises, and easy-to-follow lessons. You'll start by reviewing OOP concepts in the Scala language. Then, example-by-example, you'll gradually open up the world of functional programming. You'll explore functions and types and learn how to combine them to create powerful, flexible abstractions. Along the way, you'll learn some Scala testing and get an intuition for sniffing out and fixing code that doesn't smell quite right.What's inside
- Learn to express OO principles in Scala
- Express your program designs in functions
- Make use of types to enforce program requirements
- Use abstractions to avoid code duplication
- Write meaningful tests and recognize code smells
About the reader
Written for developers with some prior experience in an OOP language like Java or C#. No experience with Scala or functional programming is needed.About the author
Daniela Sfregola started working with Scala in 2013. Since then she has been an active contributor to the Scala Community. Daniela currently maintains several open source projects in the community and regularly speaks at Scala conferences. She blogs about Scala regularly at https://danielasfregola.com/.
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