20 September 2023
Scala is a modern, multi-paradigm programming language that runs on the Java Virtual Machine (JVM). It combines object-oriented and functional programming concepts in a concise, flexible syntax. Scala training teaches you how to leverage these features to build scalable, high-performance applications.
This guide to getting started in Scala can be used in conjunction with our Scala course.
This comprehensive guide will walk you through the fundamentals of Scala from installation to advanced concepts. Follow along to get up and running with Scala development.
The first step is to download and install the Scala Software Development Kit (SDK) which contains everything you need to write, compile, and run Scala code.
Go to www.scala-lang.org and download the latest stable release of Scala. This will be available as a .tgz file for Linux and macOS or a .zip file for Windows.
Popular Scala IDEs include:
Build tools like SBT and Maven can compile Scala code and manage dependencies.
build.sbt
file to configure SBT for your project.scala-maven-plugin
.Once your IDE and build tool are configured properly, you can create a simple "Hello World" Scala program to validate that everything is set up correctly.
This prints "Hello, World!" to indicate Scala is installed and running properly.
Now that Scala is installed, we can go over the basic syntax and programming constructs that make up the language.
Like other languages, Scala uses variables to represent values in a program:
val message = "Hello World" // immutable value
var count = 0 // mutable variable
Common Scala data types include:
Functions are defined using the def
keyword:
def greeting(name: String): String = {
"Hello " + name
}
println(greeting("John")) // Hello John
The return type is specified after the parameter list.
Scala includes familiar control structures like if
statements and for
loops:
if (x > 0) {
println("x is positive")
} else {
println("x is not positive")
}
for (i <- 1 to 5) {
println(i)
}
// 1 2 3 4 5
Scala is an object-oriented language, so it has classes, objects, and inheritance:
class Person(var name: String)
val person = new Person("John")
println(person.name) // John
The new
keyword creates an instance of a class.
Case classes are immutable classes that are compared by value, not reference. Useful for pattern matching and functional programming:
case class Point(x: Int, y: Int)
val point1 = Point(0, 0)
val point2 = Point(0, 0)
point1 == point2 // true
Scala has a rich set of immutable collection types including:
For example:
val numbers = List(1, 2, 3)
val names = Set("Bob", "Jane")
val scores = Map("Alice" -> 10, "Bob" -> 3)
These cover the core programming concepts and syntax you'll need to start writing Scala code.
Scala embraces functional programming, or FP. This programming paradigm focuses on:
Let's look at some functional concepts in Scala.
Scala encourages immutability with val
declarations:
val numbers = List(1, 2, 3) // immutable list
numbers.head = 5 // error! cannot mutate
This avoids side effects that can lead to bugs.
In Scala, functions are first-class citizens that can be:
For example:
val addOne = (x: Int) => x + 1 // function assigned to value
val result = addOne(5) // 6
def apply(f: Int => Int, x: Int) = f(x)
val result2 = apply(addOne, 5) // 6
This allows passing behavior around in a flexible way.
Higher-order functions take other functions as arguments or return them as results. Some examples include:
val numbers = List(1, 2, 3)
val doubled = numbers.map(x => x * 2) // List(2, 4, 6)
val even = numbers.filter(x => x % 2 == 0) // List(2)
val sum = numbers.reduce((x, y) => x + y) // 6
This leads to declarative, readable code.
In Scala, expressions are only evaluated when their results are needed. This is called lazy evaluation:
lazy val words = loadTextFile() // not loaded yet
if (words.isEmpty) {
println("Empty file") // evaluates words
}
This avoids unnecessary computation.
Together, these functional concepts make Scala very expressive and efficient for data processing tasks.
Scala was designed for highly concurrent, distributed systems. It provides several concurrency constructs.
The Actor model is a concurrency pattern that works by sending immutable messages between independent actors.
For example:
import akka.actor.ActorSystem
class Counter extends Actor {
var count = 0
def receive = {
case "inc" => count += 1
case "get" => sender ! count
}
}
val system = ActorSystem("system")
val counter = system.actorOf(Props[Counter], "counter")
counter ! "inc"
counter ! "get" // returns 1
Actors allow building reliable concurrent programs.
A future represents a result that may not yet exist. This allows asynchronous, non-blocking computation:
import scala.concurrent.Future
import scala.concurrent.ExecutionContext.Implicits.global
val future: Future[Int] = Future {
1 + 2 // computed asynchronously
}
future.map(x => x + 1) // get future result
Futures are useful for I/O-bound asynchronous tasks.
Scala collections can be made parallel for easy multi-threading:
val numbers = (1 to 1000).toList
numbers.par.map(x => x * 2) // multi-threaded map
This provides parallelism with minimal code changes.
Overall, Scala offers many options for taking advantage of modern multi-core processors.
Like any language, Scala comes with its own idioms and best practices. Here are some tips for writing idiomatic, maintainable Scala code.
Refer to the Scala Style Guide for conventions on formatting, naming, and idiomatic usage. This promotes consistency across codebases.
Favor immutability for safer concurrency and functional style. Use val
instead of var
whenever possible.
Use pattern matching extensively to decompose data types and handle errors:
list match {
case head :: tail => ???
case Nil => ???
}
try {
// code
} catch {
case e: IOException => // handle
case _ => // wildcard
}
Use for-comprehensions for nested looping with filters, maps, etc:
for {
i <- 1 to 3
j <- 1 to 3
if i != j
} yield (i, j) // tuples of all combinations
Much more readable than nested loops!
Following best practices will make your Scala code more idiomatic, robust, and easy to maintain.
This guide covered the fundamental concepts and tools you need to get started with Scala. Here are some recommendations for advancing your Scala training:
With time and practice, you will continue to expand your Scala abilities. It's a language with immense depth and countless possibilities.
Java experience is helpful before learning Scala but not required. Scala runs on the JVM and interoperates with Java. Consider learning both languages side-by-side.
No, Scala continues to grow in usage. It may have slowed slightly but remains very popular for data engineering, financial applications, and other domains.
Many tech giants use Scala including Twitter, LinkedIn, Apple, Foursquare, The Guardian, eBay, Coursera, and more. Scala sees heavy use across industries.
Scala has a steeper initial learning curve than simpler languages. But with immersion and practice, Scala becomes intuitive. Its expressiveness makes solutions easier to reason about.
Python is more widely used while Scala offers advantages for scalability, performance, and concurrency. Consider your specific use case - both excellent languages!
I hope this guide provided a comprehensive introduction to Scala for beginners. Scala is an immensely powerful language that blends object-oriented and functional approaches. Mastering Scala enables you to build complex, scalable systems with concise, robust code. There are limitless possibilities for innovation with Scala. Keep learning, build real projects, and have fun with this fascinating language!
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