Iterating and Transforming Collections with Standard Library

Collections as Pipelines

map: One-to-One Transformation

val prices = listOf(10, 20, 30)
val withTax = prices.map { it * 1.1 }
println(withTax)  // [11.0, 22.0, 33.0]

flatMap: One-to-Many

val sentences = listOf("hello world", "foo bar")
val words = sentences.flatMap { it.split(" ") }
println(words)  // [hello, world, foo, bar]

filter and filterNot

val nums = (1..10).toList()
val evens = nums.filter { it % 2 == 0 }
val odds = nums.filterNot { it % 2 == 0 }
println(evens)  // [2, 4, 6, 8, 10]

groupBy: Bucket by Key

val words = listOf("one", "two", "three", "four", "five")
val byLength = words.groupBy { it.length }
println(byLength)
// {3=[one, two], 5=[three], 4=[four, five]}

associate and associateBy

val items = listOf("apple", "banana", "cherry")
val byFirst = items.associateBy { it.first() }
println(byFirst)  // {a=apple, b=banana, c=cherry}

partition: Split Into Two

val (evens, odds) = (1..8).partition { it % 2 == 0 }
println(evens)  // [2, 4, 6, 8]
println(odds)   // [1, 3, 5, 7]

distinct and distinctBy

val nums = listOf(1, 2, 2, 3, 1, 4)
println(nums.distinct())  // [1, 2, 3, 4]
val words = listOf("Hi", "hello", "HI")
println(words.distinctBy { it.lowercase() })

take, drop, and chunked

val list = (1..10).toList()
println(list.take(3))    // [1, 2, 3]
println(list.drop(7))    // [8, 9, 10]
println(list.chunked(3)) // [[1,2,3],[4,5,6],[7,8,9],[10]]

zip: Pair Two Collections

val names = listOf("Alice", "Bob", "Charlie")
val scores = listOf(90, 85, 92)
val combined = names.zip(scores)
println(combined)  // [(Alice, 90), (Bob, 85), (Charlie, 92)]

sumOf, minOf, maxOf, averageOf

val items = listOf("apple", "banana", "cherry")
println(items.sumOf { it.length })    // 18
println(items.maxOf { it.length })    // 6
println(items.minOf { it.length })    // 5

Quick Check

Recap