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Welcome to 99 Bottles of Beer This Website holds a collection of the Song 99 Bottles of Beer programmed in different programming languages. Actually the song is represented in 1500 different programming languages and variations. For more detailed information refer to historic information. All these little programs generate the lyrics to the song 99 Bottles of Beer as an output. In case you do not
The speed, size and dependability of programming languages The Computer Language Benchmarks Game is a collection of 429 programs, consisting of 13 benchmark reimplemented across 33 programming languages. It is a fantastic resource if you are trying to compare programming languages quantitatively. Which, oddly, very few people seems to be interested in doing. The Benchmark Game spends a lot of effo
Forth Dimensions The original scanning of Forth Dimensions was done by Ed Thelen in August 2003, for the gang at Harry's Hofbrau. Bob Smith provided the printed documents and assisted in scanning them. A separate scan was done by John Hall. In addition, Jay McKnight used the optical character recognition function of Adobe Acrobat to further process these image files, converting them into the searc
Here is Version 3 of our paper (May 2010): Fun With Type Functions (version 3), Oleg Kiselyov, Ken Shan, and Simon Peyton Jones. This online version includes an Appendix that does not appear in the printed version. Slides (PDF) Source code which will appear in the proceedings of Tony Hoare's 75th birthday celebration. Abstract. Tony Hoare has always been a leader in writing down and proving proper
Flash上でFlashのコンパイルを出来るライブラリがそろっている言語。 私の中でHaxeとはそんな言語です。 今回はひとつ、頑張ってhaXeで俺言語を作るってのを書いていこうと思います。 どんな言語を作るかというと、Algol文法にLISPのマクロと同等の能力を持つ言語です。 で、今回の目標はflash上でflashをコンパイルして動かすことです。 ということで、まずは簡単な計算機を作ってみます。 なれていけば、章立てとかできるんでしょうけど、まだ日本語能力が足りないので、 その段階にありません。www ってことで、気の赴くままに、だらだらと書いてみます。 で、次に書くときにまとめつつ書いてみようと思います。 とりあえず、文章のブレーンストーミングからはじめて、それをあとでまとめようという。 スパゲッティ文章ですけどそのへんはお許しを。 と、その前にhaXeのインストールからはじめまし
As a mathematician, what programming language should you use when you need to do anything algorithmic? For some specific domains there are languages tailored for the task, for example Macaulay2 is great for some types of algebra. For general problems many turn to Mathematica or Maple. But although they are universal (in the sense of Turing) they're not great platforms for general purpose algorithm
Here’s an article on reasons to like Ruby. It’s actually very well written and persuasive. So I took it as a challenge. How well would Haskell fare when compared against this specific set of criteria, changing the points as little as possible? The meanings will inevitably shift a bit, and readers will know that Haskell has its own set of advantages, of course. The point of this exercise, thoug
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