Data Pipeline Patterns

Take and Skip

Iterable.skip(n) returns a lazy Iterable that drops the first n elements; Iterable.take(n) returns a lazy Iterable of the next n elements at most. Chaining them carves a position-based window out of a list without copying any data, and .toList() materializes the window into a concrete List. Both operations are non-mutating, so the source list is unchanged.

Program

Play the program to drop the first value, keep the next three, and join the resulting window with dashes.

take_skip.dart 
void main() {
  var values = [1, 2, 3, 4, 5];
  var window = values.skip(1).take(3).toList();
  var text = window.join('-');
  print(text);
}
skip `list.skip(n)` returns a lazy `Iterable` of every element after the first `n`. The trace first re-visits the chain line to show `skip -> [2, 3, 4, 5]`.
take `iterable.take(n)` returns a lazy `Iterable` of the next `n` elements at most. The next visit shows `take -> [2, 3, 4]`, ignoring the trailing `5`.
windowing Chained `skip` and `take` carve a position-based window out of the source list without copying. `.toList()` materializes the final window into a concrete `List`.