[racket] Offtopic: Favorite resources for mastering SML?

I have to put in a plug for Learn You a Haskell for Great Good. It's
quite entertaining and several of my high school students have managed
to work their way through most of it.

http://www.learnyouahaskell.com

Todd

On Thu, Jul 4, 2013 at 11:44 AM, Sean Kanaley <skanaley at gmail.com> wrote:
> I can't speak to ML vs. Haskell starter-friendliness but I can provide a
> link to a free online Haskell book:
>
> http://book.realworldhaskell.org/read/
>
> It's the Haskell equivalent of "Practical Common Lisp".
>
> If you end up liking Haskell, the book Haskell School of Expression is very
> good.  It takes you through the construction of DSLs for functional reactive
> programming (FRP), an imperative language to control robots (simulated on
> screen with simple graphics), and one to describe music in the abstract and
> then convert it to a MIDI file.  It's more heavily math based, often asking
> for proofs as exercises, but if that's not what you like it's not really
> necessary to do them anyway.
>
> Note that I'm not attempting to persuade you from ML and the recommendations
> already given, merely sharing what I personally know better...though I will
> say that the Haskell type system to include its classes, families,
> functional dependencies, transformers, GADTs, etc. is probably the best one
> in existence, or at least in common use...
>
>
> On 07/04/2013 10:36 AM, Grant Rettke 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,
>>
>
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