Category: OCaml

In this post, I continue going through the famous paper “Functional Programming with Bananas, Lenses, Envelopes and Barbed Wire” by Meijer et al.  They show that we can treat recursions as separate higher order functions known as recursion schemes.  Each of the four things in the paper title corresponds to a type of recursion scheme. …

In the last post we talked about using unfolds to zip and more in OCaml. In this post we write the equivalent functions in Haskell. Zip is in the standard library in Haskell. It’s actually so elegant that there isn’t much point using unfolds instead. To zip two lists, simply use the zip function: Prelude>…

While doing my OCaml MOOC exercise I came across a trie implementation for looking up words.  I find that the way OCaml treats strings is very different from the way Haskell does it.  It leads to different ways to implement the trie in the two languages. Strings and Tries in  Haskell Haskell is a pure…

Run Time Versus Compile Time Error Run time errors are those that happen when the program runs, as opposed to compile time errors which happen when the program compiles.  In a sense, having compile time errors is no big deal, because the errors guarantee that the ill-defined program won’t be running.  The programmer can fix…

In the last post, I talked about catamorphisms in Haskell.  Specifically, the advantages of the foldr1 or foldl1 option in Haskell.  Namely, (1) not needing to specify the base case and (2) preserving polymorphisms in all applicable types.  In this post, I will show another way to fold nonempty list without using foldr1 or foldl1…

In the last post I talked about catamorphisms in OCaml.  In this post I compare that with Haskell.  We’ll see that Haskell gives you more options when implementing catamorphisms.  You don’t need to know Haskell to understand this post, I’ll introduce the required Haskell syntax along the way. Catamorphisms in Haskell As mentioned in the…