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The Little Books in OzTranslating code from one programming language to another is a black art. Even if successful in capturing functionality, each PL has its own styles, idioms and community morals. Doing automated translations (which I have done) has more misses than hits. Doing it manually gets you closer but it can require an inordinate amount of time to get it just right. Even so, PL translations are something that I personally enjoy as it is particularly instructive in teaching the strengths and limitations of expressing different concepts (though I usually catch flak for violating the social values of the target language). My latest postings into this gray area are translations of the remaining Little Books to Oz - consisting of The Little Schemer, The Seasoned Schemer, The Little MLer and A Little Java, A Few Patterns (previous LtU post on The Reasoned Schemer in Oz). The Little Books are the antithesis to recipe books. There's not much code here that can be plugged into a project. The aim is to systematically teach programming thought processes. The books are useful for those wanting to learn Scheme (or ML). But the lessons are also useful even if those are not your particular language(s) of choice. Such didactic material may not be everyone's cup of tea, but they do represent a unique manner in which to teach (and still hoping for The Little Haskeller). Along a similar line, I've started in on Introduction to Algorithms in Oz. Previously, I made a weak attempt at Knuth which I'll get back to one of these years, but found that translating MIX to higher level languages was tedious and time consuming. The CLRS book is a bit easier to translate, but the language they chose to express algorithms in doesn't seem to map to any exact known programming language in the universe. The language is concise, which was their aim, but it takes some shortcuts and has some peculiarities. Also, like Knuth, the algorithms are very much oriented to having mutable state. (Purely Functional Data Structures is in my queue). Anyhow, I find it interesting that the authors of the two best known book(s) on algorithms chose to invent their own language rather than use an existing PL. |
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