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Learning Scala Programming
Learning Scala Programming

Learning Scala Programming: Object-oriented programming meets functional reactive to create Scalable and Concurrent programs

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Learning Scala Programming

Building Blocks of Scala

"You can't build a great building on a weak foundation. You must have a solid foundation if you're going to have a strong superstructure."
- Gordon B. Hinckley

Our aim as programmers is to provide a solution to a problem through some logical implementation. Programming languages work as a tool for just that. When we implement a solution to a problem, we must be able to describe the problem (specification) so that a programming language can verify (verification) whether the solution indeed solves the problem.

Problem Solution

For implementation, we use various programming constructs, which are basic entities with some syntactic rules. These entities work as building blocks for any programming language. In Scala, we have similar syntax to almost any other programming language. We use keyword/name/classifier/bound-entity. In this chapter...

What is underneath a Scala program?

A Scala program is a tree of nested definitions. A definition may start with a keyword, definition's name, a classifier, and if it's a concrete definition, then also an entity to which that definition is bound. So the syntax is regular, just like any other programming language has keyword/name/classifier/bound-entity. Let's take an example. We'll use Scala REPL to see how a simple Scala program is built. For that, let's import a Scala package named universe:

scala> import scala.reflect.runtime.universe._ 
import scala.reflect.runtime.universe._

This import clause brings all the definitions within the universe package in scope. It means that the required functions we are going to use are in scope, and available for us to use. Then we'll use a reify method, which returns an Expr to construct tree...

Vals and vars

While writing our Scala programs, we can define our member fields using either val or var keywords. When we use a val keyword to assign a value to any attribute, it becomes a value. We're not allowed to change that value in the course of our program. So a val declaration is used to allow only immutable data binding to an attribute. Let's take an example:

scala> val a = 10
a: Int = 10

Here, we have used a val keyword with an attribute named a, and assigned it a value 10. Furthermore, if we try to change that value, the Scala compiler will give an error saying: reassignment to val:

scala> a = 12
<console>:12: error: reassignment to val
a = 12

Scala recommends use of val as much as possible to support immutability. But if an attribute's value is going to change in the course of our program, we can use the var declaration:

scala> var b...

Literals

In the previous discussion, we've seen a String literal and an Integer too. Here, we'll discuss all available literals, and how to define them in Scala. If you're coming from a Java background, then quite a few will be the same for you: Integer, Floating point, Boolean, Character, and String are similar. Along with those, the Tuple and Function literals can be treated as something new to learn. All the literals are listed as follows:

  • Integer literals
  • Floating point literals
  • Boolean literals
  • Character literals
  • String literals
  • Symbol literals
  • Tuple literals
  • Function literals

We'll discuss them one by one. Let's start with Integer literals.

Integer literals

Numeric literals can be expressed...

Data types

We have just covered literals in Scala, and with that, we've almost covered the introduction to all the data types existing as well. We discussed how to define Int, Long, Short, and Byte data types. Along with these, we also covered Float and Double type. Together, all these are called numeric data types. The Byte, Short, and Char are called sub-range types. We also talked about Boolean, character, and strings:

Numeric value types

In Java, these numeric types are called Primitive Types, and then there are user-defined types as well. But in Scala, these somewhat similar types to primitives, are called value types. Objects of these value types are not represented by an object in the underlying runtime system. Thus, arithmetic operations performed are in the form of methods defined for Int, and other numeric value types. Think about it, it means that we can...

Type inference

We can call type inference a built-in Scala feature that permits us to omit type information while writing code. This means we don't have to specify the type while declaring any variables; Scala compiler can do it for us:

scala> val treatMeAString = "Invisible"
treatMeAString: String = Invisible

We did not specify our val, to be of String type, but seeing the value of Invisible, Scala compiler was able to infer its type. Also with some constraints, we can also omit the method's return types:

defcheckMeImaString(x: Boolean) = if(x) "True"else "False"

Here we did not give the return type, as Scala compiler was able to infer its type. But for recursive methods, this doesn't work. The famous factorial method expects you to specify the return type if implementation is recursive:

def recursiveFactorial(n: Int) = if(n...

Operators in Scala

Based on the way we use them, the Scala operators can be classified into three types:

  • Infix operators
  • Prefix operators
  • Postfix operators

We use operators to perform some operation on operands, which is obvious, and the way we implement makes them infix, prefix, or postfix. A basic example of an infix operator is addition +:

scala> val x = 1 + 10
x: Int = 11

We have two operands (1 and 10) on which this addition operation is being performed. We've already discussed that operators are methods. It means that somehow the operation is being performed as 1.+(10), and 1 + 10 is just syntactic sugar of how we can write this. This is possible because the method + is defined for the given types. Here, in our case, the addition (+) method is defined for Int. Along with this, there are several versions of overloaded methods that support other numeric value...

Wrapper classes

In Scala, we can create our own universe, apart from the native methods provided, we can add our own implementations, which we call Rich Wrapper classes. This is possible because of Implicit Conversions. First, we'll list out some Wrappers available already:

Rich wrappers

To see how it happens, let's see an example:

scala> val x = 10
x: Int = 10

scala> x.isValidByte
res1: Boolean = true

The preceding expression tries to check if the value of x can be converted into a Byte, and suffices range of a Byte, and finds it to be true:

scala> val x = 260
x: Int = 260

scala> x.isValidByte
res2: Boolean = false

scala> val x = 127
x: Int = 127

scala> x.isValidByte
res3: Boolean = true

As you know, range for a Byte is -128 to 127. If you try to assign it to a value that's out of range of a Byte and expect it to behave like a Byte, it won...

What is underneath a Scala program?


A Scala program is a tree of nested definitions. A definition may start with a keyword, definition's name, a classifier, and if it's a concrete definition, then also an entity to which that definition is bound. So the syntax is regular, just like any other programming language has keyword/name/classifier/bound-entity. Let's take an example. We'll use Scala REPL to see how a simple Scala program is built. For that, let's import a Scala package named universe:

scala> import scala.reflect.runtime.universe._ 
import scala.reflect.runtime.universe._ 

This import clause brings all the definitions within the universe package in scope. It means that the required functions we are going to use are in scope, and available for us to use. Then we'll use a reify method, which returns an Expr to construct tree out of our simple Scala program expression. We passed a Scala class to our reify method. Let's pretend that a Scala class encapsulates some members like a value...

Vals and vars


While writing our Scala programs, we can define our member fields using either val or var keywords. When we use a val keyword to assign a value to any attribute, it becomes a value. We're not allowed to change that value in the course of our program. So a val declaration is used to allow only immutable data binding to an attribute. Let's take an example:

scala> val a = 10
a: Int = 10

Here, we have used a val keyword with an attribute named a, and assigned it a value 10. Furthermore, if we try to change that value, the Scala compiler will give an error saying: reassignment to val:

scala> a = 12
<console>:12: error: reassignment to val
    a = 12

Scala recommends use of val as much as possible to support immutability. But if an attribute's value is going to change in the course of our program, we can use the var declaration:

scala> var b = 10
b: Int = 10

When we define an attribute using a var keyword, we're allowed to change its value. The var keyword here stands for...

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Key benefits

  • Get a grip on the functional features of the Scala programming language
  • Understand and develop optimal applications using object-oriented and functional Scala constructs
  • Learn reactive principles with Scala and work with the Akka framework

Description

Scala is a general-purpose programming language that supports both functional and object-oriented programming paradigms. Due to its concise design and versatility, Scala's applications have been extended to a wide variety of fields such as data science and cluster computing. You will learn to write highly scalable, concurrent, and testable programs to meet everyday software requirements. We will begin by understanding the language basics, syntax, core data types, literals, variables, and more. From here you will be introduced to data structures with Scala and you will learn to work with higher-order functions. Scala's powerful collections framework will help you get the best out of immutable data structures and utilize them effectively. You will then be introduced to concepts such as pattern matching, case classes, and functional programming features. From here, you will learn to work with Scala's object-oriented features. Going forward, you will learn about asynchronous and reactive programming with Scala, where you will be introduced to the Akka framework. Finally, you will learn the interoperability of Scala and Java. After reading this book, you'll be well versed with this language and its features, and you will be able to write scalable, concurrent, and reactive programs in Scala.

Who is this book for?

This book is for programmers who choose to get a grip over Scala to write concurrent, scalable, and reactive programs. No prior experience with any programming language is required to learn the concepts explained in this book. Knowledge of any programming language would help the reader understanding concepts faster though.

What you will learn

  • Get to know the reasons for choosing Scala: its use and the advantages it provides over other languages
  • Bring together functional and object-oriented programming constructs to make a manageable application
  • Master basic to advanced Scala constructs
  • Test your applications using advanced testing methodologies such as TDD
  • Select preferred language constructs from the wide variety of constructs provided by Scala
  • Make the transition from the object-oriented paradigm to the functional programming paradigm
  • Write clean, concise, and powerful code with a functional mindset
  • Create concurrent, scalable, and reactive applications utilizing the advantages of Scala
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Table of Contents

16 Chapters
Getting Started with Scala Programming Chevron down icon Chevron up icon
Building Blocks of Scala Chevron down icon Chevron up icon
Shaping our Scala Program Chevron down icon Chevron up icon
Giving Meaning to Programs with Functions Chevron down icon Chevron up icon
Getting Familiar with Scala Collections Chevron down icon Chevron up icon
Object-Oriented Scala Basics Chevron down icon Chevron up icon
Next Steps in Object-Oriented Scala Chevron down icon Chevron up icon
More on Functions Chevron down icon Chevron up icon
Using Powerful Functional Constructs Chevron down icon Chevron up icon
Advanced Functional Programming Chevron down icon Chevron up icon
Working with Implicits and Exceptions Chevron down icon Chevron up icon
Introduction to Akka Chevron down icon Chevron up icon
Concurrent Programming in Scala Chevron down icon Chevron up icon
Programming with Reactive Extensions Chevron down icon Chevron up icon
Testing in Scala Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Empty star icon Empty star icon Empty star icon 2
(3 Ratings)
5 star 0%
4 star 33.3%
3 star 0%
2 star 0%
1 star 66.7%
Zachary McDaniel Apr 08, 2018
Full star icon Full star icon Full star icon Full star icon Empty star icon 4
It's a good book to get a a nice overview of the language but doesn't go very deep into the detail. However it's an easy read and if you just want a sort of crash course in the features of Scala then it works well for that.
Amazon Verified review Amazon
Madhav Jan 22, 2019
Full star icon Empty star icon Empty star icon Empty star icon Empty star icon 1
This book is a pain in the neck to read and understand. Why? Let me give you a very simple example. The author uses inheritance and abstract classes / traits on page 140 and defines them on page 158 and 169. Why on earth would we be subject to such cruelty? Again.. The author uses the Option type with Failure, Success and Try on page 144 and defines them on page 234- Wow!!! (though it doesn't take long to figure out what these keywords mean). These are some of the numerous instances in the book where concepts are used way ahead of time and defined much later.Also, this book mentions in the preface that no programming experience is necessary. However, you will be crucified if you haven't worked with a single programming language in your life. Moreover, it's good to have some knowledge of Scala (see the awesome Udemy course entitled Rock the JVM) before reading this book. If you do take that course on Udemy, I am sure you will either go straight to Scala docs or read the comprehensive Scala bible (Programming in Scala) by Martin Odersky to advance your knowledge.@Everyone, please stay away from this mess.
Amazon Verified review Amazon
Grant Sep 08, 2021
Full star icon Empty star icon Empty star icon Empty star icon Empty star icon 1
This book is so poorly written, it is nearly impossible to understand.
Amazon Verified review Amazon
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