[racket] Offtopic: Favorite resources for mastering SML?

From: Phil Bewig (pbewig at gmail.com)
Date: Thu Jul 4 11:13:47 EDT 2013

Sorry, I meant this for the list, not just Grant.

After I wrote it, I looked again at my bookshelf and found *Elements of
Functional Programming* by Chris Reade, which reminds me in a small way of
SICP. It belongs in the intermediate/advanced category.

On Thu, Jul 4, 2013 at 10:04 AM, Phil Bewig <pbewig at gmail.com> wrote:

> Jeff Ullman's book *Elements of ML Programming* got me started on both
> SML and functional languages in general. I still remember the feeling I had
> about halfway through the book: *this is the way programming should be
> done*. Harper's book *Programming in Standard ML* is equally good (Did he
> ever finish it?).
> For beginners, Ryan Stansifer's *ML Primer* and Ake Wikstrom's *Functional
> Programming Using Standard ML* are both quite basic. You can read
> Stansifer in an evening; there's not much there. Wikstrom is a good
> introduction to the language.
> For intermediate programmers, *Programming with Standard ML* by Colin
> Myers, Chris Clack and Ellen Poon is good. Rachel Harrison's book *Abstract
> Data Types in Standard ML* is poorly written, but some of the code is
> good.
> For advanced programmers, Larry Paulson's book *ML for the Working
> Programmer* is excellent, as you noted; I don't know what Matthias
> objects to. So is Chris Okasaki's book *Purely Functional Data Structures*. S.
> Sokolowski's book *Applicative High Order Programming* gives a very
> mathematical treatment.
> There's lots of conference proceedings if you go looking for them. And of
> course you will want to read both the Standard and the Commentary.
> On Thu, Jul 4, 2013 at 9:36 AM, Grant Rettke <grettke at acm.org> wrote:
>> Hi,
>> One of my current projects is to master as functional and statically
>> typed programming language. Having discussed and debated it years ago
>> (partially on list here, too) the conclusion was reached that SML
>> would be a nicer place to start than Haskell or Clean. Fifteen years
>> after its release, there seems to be a lot of knowledge but not a ton
>> of resources exactly. There are a lot of dead links and books out of
>> print (working off the SML/NJ resource list). I'm wondering of ACM's
>> digital library is a good place to start.
>> Last week I worked through _ML for the Working Programmers_ which was
>> great but didn't get into the details in a way that I would have
>> expected (went from 10mph to 100mph instead). Up next is _The Little
>> MLer_ and Harpers _Programming in Standard ML_.
>> This list's members have a breadth and depth far beyond most, so I'm
>> wondering if I could get your help here and learn about your favorite
>> learning SML resources.
>> Best wishes,
>> --
>> Grant Rettke | ACM, AMA, COG, IEEE
>> grettke at acm.org | http://www.wisdomandwonder.com/
>> "Wisdom begins in wonder." --Socrates
>> ((λ (x) (x x)) (λ (x) (x x)))
>> "Life has become immeasurably better since I have been forced to stop
>> taking it seriously." --Thompson
>> ____________________
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