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My adventures in ML Land

I believed it could be attention-grabbing to doc my journey of studying the ML household of languages. I’ll attempt to checklist the assets I utilized in chronological order (principally) within the hopes that it would assist another person.

Discovering and Studying F#

My first publicity to F# was by means of these two talks by Scott Wlaschin

I’m not certain how I received considering computation expressions however I do bear in mind in some unspecified time in the future pondering of how to make use of it for implementing a react-hooks clone. After I began studying fsharpforfunandprofit’s Computation expression series, I noticed that let-expressions have been a key to understanding the idea. A fast google search led to

Later, I wanted to put in writing tokenizer + lexer as part of an project in Nand2Tetris half two. Conveniently, this was after I found posts about utilizing F# for writing parsers.

Issues I did not like about F#

  • Use of XML in fsproj
  • Non-obligatory and named arguments not being accessible to regular features
  • Not CLI pleasant as different languages. dotnet-cli is making an attempt to fill this hole however it’s not fairly there but.
  • Can not create a local executable that may be simply distributed.

Shifting to OCaml

As a result of F# was initially impressed by OCaml which does not have any of the pet peeves I had with F#, I made a decision I ought to give OCaml a attempt

I wished to put in writing an HTTPie clone in OCaml. To do this, I began studying Real World OCaml to raised familiarize myself with the language.

Actual World OCaml makes use of Base to exchange OCaml’s stdlib. I’m not very keen on Base because it deviates from the usual conference of passing features earlier than values in HOC. To repair the ordering, one has to make use of labels:

open Base

[1;2;3;4] |> ~f:(enjoyable x -> x * 2)

Fortuitously, there may be Containers which will get the argument ordering proper.

open Containers

[1;2;3;4] |> (enjoyable x -> x * 2)

To write down OCaml code, I sat up Neovim by following this guide. For my repl wants, I used Utop. At any time when I wanted to insert a number of traces, I used Utop’s $editor integration which might be opened by C-x C-e.

There’s a lot to be desired about OCaml tooling, however I’m actually enthusiastic about opam-tools and duniverse.


Whereas trying to find OCaml twitch streams, I found tsoding channel which does principally Haskell and sometimes some OCaml.

Later, I watched some movies about Elm which counterintuitively made me fall in love with Haskell.

  • Extra concise syntax for lambda declaration
  • Varieties taking their very own line
  • Infix operators with customizable associativity and priority.
  • Could be compiled right into a single binary.
  • Kind lessons.

One factor I missed in Haskell was F#’s pipeline operator. Fortuitously, It may be simply outlined.

λ> import Knowledge.Perform ((&))
λ> (|>) = (&)
λ> (<|) = ($)
λ> [1..10] |> filter even |> map (x -> x * 2)

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