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Scala for Backend Engineering & Functional Programming · Lesson

Functional Operations on Collections

Master common functional operations such as map, filter, fold, and reduce for data transformation.

Functional Ops: Why Use Them?

Functional operations on collections help you transform and combine data without changing the original collection. This approach promotes immutability and makes your code easier to read and test.

We'll explore key operations like map, filter, reduce, and fold.

Transform with `map`

The map operation applies a function to each element of a collection and returns a new collection with the transformed results. The original collection remains unchanged.

Try running this example:

object Main {
  def main(args: Array[String]): Unit = {
    val numbers = List(1, 2, 3, 4)
    val doubled = numbers.map(n => n * 2)
    println(s"Original: $numbers")
    println(s"Doubled: $doubled")
  }
}

All lessons in this course

  1. Immutable Collections Deep Dive
  2. Functional Operations on Collections
  3. Option, Try, Either for Errors
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