Book Image

Scala Programming Projects

By : Mikael Valot, Nicolas Jorand
Book Image

Scala Programming Projects

By: Mikael Valot, Nicolas Jorand

Overview of this book

Scala Programming Projects is a comprehensive project-based introduction for those who are new to Scala. Complete with step-by-step instructions and easy-to-follow tutorials that demonstrate best practices when building applications, this Scala book will have you building real-world projects in no time. Starting with the fundamentals of software development, you’ll begin with simple projects, such as developing a financial independence calculator, and then advance to more complex projects, such as a building a shopping application and a Bitcoin transaction analyzer. You’ll explore a variety of Scala features, including its OOP and FP capabilities, and learn how to write concise, reactive, and concurrent applications in a type-safe manner. You’ll also understand how to use libraries such as Akka and Play. Furthermore, you’ll be able to integrate your Scala apps with Kafka, Spark, and Zeppelin, along with deploying applications on a cloud platform. By the end of the book, you’ll have a firm foundation in Java programming that’ll enable you to solve a variety of real-world problems, and you’ll have built impressive projects to add to your professional portfolio.
Table of Contents (18 chapters)
Title Page
Copyright and Credits
Packt Upsell
Contributors
Preface
Index

Summary


We covered some challenging concepts in this chapter. Type classes are also used in other functional programming languages, such as Haskell.

For convenience, the following table summarizes the type classes that we enumerated in this chapter:

Name

Method

Law(s)

Example(s)

Semigroup

def combine(x: A, y: A) : A

Associativity

Option(1) |+|  None |+| Option(2)// res5: Option[Int] = Some(3)

Monoid

def empty: A

Identity

Vector(1,2,3).combineAll// res8: Int = 6
Vector("1", "2", "3").foldMap(s => (s,s.toInt))
// res10: (String, Int) = (123,6)

Functor

def map[A, B](fa: F[A])(f: A => B): F[B]

Identity,Composability

def square(x: Double): Double = x * x
def squareVector: 
  Vector[Double] => Vector[Double] =
    Functor[Vector].lift(square)
squareVector(Vector(1, 2, 3))// res0: Vector[Double] = Vector(1.0, 4.0, 9.0)
Vector("Functors", "are", "great")
  .fproduct(_.length)
  .toMap
// res2: Map[String,Int] = Map(Functors -> 8, //are -> 3, great -> 5)

Apply

def ap[A, B](ff: F[A => B])(fa: F[A...