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Mastering Scala Collections: A Comprehensive Guide with Examples

Introduction to Scala Collections

Scala provides a rich set of collections, offering a wide range of functionalities for handling data. In this tutorial, we’ll explore Scala Collections, including Lists, Sets, Maps, and more, with practical code examples to reinforce your learning.

Key Concepts

  • Scala Collections hierarchy
  • Immutable vs. mutable collections
  • Common operations on collections

1. Scala Lists

Lists are immutable sequences in Scala. They maintain elements in a linear order.

Creating Lists

val numbers = List(1, 2, 3, 4, 5)
val fruits = List("Apple", "Banana", "Orange")

Common Operations

// Accessing elements
println(numbers.head) // 1
println(numbers.tail) // List(2, 3, 4, 5)

// Adding elements
val newNumbers = numbers :+ 6
println(newNumbers) // List(1, 2, 3, 4, 5, 6)

// Mapping elements
val doubledNumbers = numbers.map(_ * 2)
println(doubledNumbers) // List(2, 4, 6, 8, 10)

2. Scala Sets

Sets are collections of distinct elements without any specific order.

Creating Sets

val numbersSet = Set(1, 2, 3, 4, 5)
val alphabetSet = Set('a', 'b', 'c')

Common Operations

// Adding elements
val newNumbersSet = numbersSet + 6
println(newNumbersSet) // Set(1, 2, 3, 4, 5, 6)

// Removing elements
val filteredSet = numbersSet.filter(_ < 4)
println(filteredSet) // Set(1, 2, 3)

// Intersection
val commonSet = numbersSet.intersect(Set(4, 5, 6))
println(commonSet) // Set(4, 5)

3. Scala Maps

Maps represent collections of key-value pairs.

Creating Maps

val phonebook = Map("Alice" -> 1234, "Bob" -> 5678, "Charlie" -> 91011)
val scores = Map("Alice" -> 95, "Bob" -> 87, "Charlie" -> 92)

Common Operations

// Accessing values
println(phonebook("Alice")) // 1234

// Adding elements
val newPhonebook = phonebook + ("David" -> 1213)
println(newPhonebook) // Map(Alice -> 1234, Bob -> 5678, Charlie -> 91011, David -> 1213)

// Removing elements
val withoutAlice = phonebook - "Alice"
println(withoutAlice) // Map(Bob -> 5678, Charlie -> 91011)

Conclusion

Scala Collections provide powerful tools for manipulating data efficiently. By mastering Lists, Sets, Maps, and understanding their operations, you can write more concise and expressive Scala code. Experiment with these examples to deepen your understanding and leverage Scala’s rich collection library in your projects.

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