Continuing on with my journey in F# tonight I went through the next section in tryfsharp.org called “The Functional World”. Like usual here are some random notes on the section.

• If you want to define what the return type should be in an F# function use a : and the return type.

  let sqr (x : float) : float = x * x
  			

  This is usually a good practice to over annotate the code to allow for a better form of self documenting code so the reader does not need to infer what actual parameter types and return types.
• if-then-else statements in F# are actually called if expressions where the expression will evaluate to either true or false.

  let printYes (x : float) : string = 
      if x >= 10.0 then "yes" else "no"
  
  let good = printYes(10.0)
  

• If you need to create a recursive function you need to add the keyword “rec” in front of the function definition. This allows for added safety so you do not accidentally create a recursive function. This keyword will also allow for the function to be accessible internally to the function.

  let rec factorial (n : int) =
      if n = 0 then
          1
      else
          n * factorial (n-1)
  
  

• You can guard against infinite recursion in a function by defining an assert which stops the function from creating a stack overflow exception.

  let rec power (x : float) (n : int) =
      assert (n >= 0)
      if n = 0 then
          1.0
      else
          x * power x (n-1)
  

  Instead of calling the assert you could throw an exception if the parameters are outside of bounds.

  let rec power (x : float) (n : int) =
      if n 
  

• Arrays are not part of the functional programming paradigm (but they can be used). Instead lists are commonly used instead.
• Lists are very efficient at adding to the front from a list and creating and conversely at removing an item from the front of a list.
• You can retrive the head of a list by calling List.head list

  let list = ['h';'e';'l'; 'l'; 'o']
  let head = List.head list
  

  To obtain the tail you can use List.tail

  let list = ['h';'e';'l'; 'l'; 'o']
  let tail = List.tail list
  

• The F# list library contains additional helper functions to work with list for example you can use List.exists to see if a given list contains a given element.

  let found = List.exists (fun element -> element = 'l') list
  

• You can use pattern matching on list to help find elements in a list.

  let rec contains list element =
      match list with
      | []       ->   false
      | head :: rest  ->  if head = element then true else contains rest element
  
  let foundByContains = contains list 'h'
  

  Here the :: operator helps to decompose the list to the head element and rest which contains the tail element and the other elements.
• Functions which accept functional arguments and or return new functions are known as higher order functions. Some examples of these functions are:
  • List.map - which executes a function on each element in a list.
  • List.filter - filters a list of elements which match the given function predicate
  • List.reduce - applies the a given function to the first two elements that result is than passed to the third element and that result is applied to the fourth and so on.
  • List.fold - applies a function to each element in a list but also passes along a variable along which is called the accumulator.

    let data = [("Cats",4);
                ("Dogs",5);
                ("Mice",3);
                ("Elephants",2)]
    let count = List.fold (fun accumulator (animalType, numberOfAnimals) -> accumulator + numberOfAnimals) 0 data
    printfn "Total number of animals: %d" count
    

    Example was from msdn with revised names to make sense.

So far F# is looking good, I am slowly starting to understand the syntax. The lack of () {} is the hardest part for me to grasp. Next up on the list is the “Imperative World”