OK... last sort of the day and probably the most fun. F# is really awesome.

let rec quickSort list = 
    match list with
    | [] -> []
    | [x] -> [x]
    | hd :: _ -> 
        quickSort (List.filter (fun x -> x < hd) list) @ hd :: quickSort (List.filter (fun x -> x > hd) list)

let main args = 
    printfn "%s" (List.fold (fun acc x -> acc + " " + x.ToString()) "" (quickSort [10; 7; 1; 0; -1; 9; 33; 12; 6; 2; 3; 33; 34;]))

let me know How I can improve this code. I am trying to think functionally and want my program to be most efficient, concise and functional.

  • 1
    \$\begingroup\$ This will probably drop any duplicate elements as x !< hd and x !> hd \$\endgroup\$ Dec 22, 2013 at 10:41
  • \$\begingroup\$ I do have a question though. since I make 2 calls to quickSort in the recursion... will these two calls be made parallelly? I have heard that functional languages are more multi-core friendly... but want to confirm if I have to do some thing explicilty to ensure that all the two sub quickSorts are executed on different threads. \$\endgroup\$ Dec 22, 2013 at 18:20
  • \$\begingroup\$ The calls will not run on separate threads. This is good as you could generate a lot of threads if itndid \$\endgroup\$ Dec 22, 2013 at 19:21
  • \$\begingroup\$ OK... but they say that functional languages are more multi-core friendly as compared to imperative ones. so in the program above is there any multi-core benefit which I would not get in a traditional langugae.... also is there something I can do to be more multicore aware? \$\endgroup\$ Dec 22, 2013 at 19:26
  • 1
    \$\begingroup\$ @KnowsNotMuch You can use normal .Net Tasks for that. Something like Task.Run(fun () -> quickSort ...) to start two Tasks and then call Result on both of them to get the results. \$\endgroup\$
    – svick
    Dec 25, 2013 at 15:16

1 Answer 1



  • exclude unnecessary duplication (List.filter etc.)
  • drop separate match rule for the list of one element
  • rely on type inference
  • use more succinct form of pattern matching

Something like this:

let rec qsort = function
    | [] -> []
    | x::xs -> let lt, ge = List.partition ((>) x) xs
               qsort lt @ x :: qsort ge

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