Going a bit further in Functional Programming concepts with *Traversable*

We already saw a few concepts so far such as `Functor`

and `Applicative`

.

Let’s dig deeper !

*Traversable* solves a specific problem. How to apply an operation to many inputs at once without leaving the “Box/Container/F” ?

Without *Traversable*, we would have to perform something like this:

val input: List[Int] = List(1,2,3) val operation: Int => F[Int] = ??? val output: List[F[Int]] = input.map( i => operation(i))

But how do we manage to get `F[List[A]]`

instead of `List[F[A]]`

? Traversable !

To implement `traverse`

we re-use what we built in the previous episodes: `Functor`

and `Applicative`

. So we can chain the operation and wrap into `F`

.

With `traverse`

which allows you to apply an operation to many element and stay inside `F`

, we also get for free `sequence`

which allow you to flip `List[F[A]]`

inside out into `F[List[A]]`

. You will see it in `Future.sequence`

for instance that is very convenient to wait or combine many `Future`

together.

As a note: `input.map(f).sequence`

is the same as `input.traverse(f)`

.

Reveal more information and clues