Yetiのこと - 4276215469
OCaml 大変だし Yeti 書こ。Yeti は、ML に少し Ruby を足したような文法の JVM 言語。 println "hello world"fizzbuzz n = case [n % 3, n % 5] of [0, 0]: "fizzbuzz"; [0, _]: "fizz"; [_, 0]: "buzz"; _: "\(n)" esac; [1..30] |> map fizzbuzz |> printlnパターンマッチがあるとか、文字列内で式展開ができるとか、各コレクションのリテラルがあるとか、パイプライン演算子があるとか、取り敢えず表示ができるとか、取り敢えず Java のメソッド呼べるとか、ゆるふわに書けそう。LL になった ML といった感じ。 Java が絡むと残念感漂うのは、JVM 言語の宿命っぽい。 import com.sun.net.httpserv
SML and OCaml: So, why was the OCaml faster?
(Notes: * I know that it’s possible to make SML/NJ produce a native binary, but I still haven’t taken the time to figure out how to do it. This time comes from adding a timing wrapper in the program itself and then importing it into the interactive environment. ** Alice ML has three JIT compiler settings; this was mode 1, which proved the fastest.) So SML/NJ is not far off OCaml; it’s clearly poss
Four MLs (and a Python)
I wrote a small command-line text processing program in four different ML-derived languages, to try to get a feel for how they compare in terms of syntax, library, and build-run cycles. ML is a family of functional programming languages that have grown up during the past 40 years and more, with strong static typing, type inference, and eager evaluation. I tried out Standard ML, OCaml, Yeti, and F#
YETI programming language
YETI Releases ... and the slime became the worm and the worm the serpent, the serpent became the yeti of the mountain forests and the yeti became man. Yeti is ML style functional programming language, that runs on the JVM. message = "Hello world"; println message; Library documentation: std, io, json, xml Read the tutorial (also available as PDF) Language reference manual (PDF) Source is available
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