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I would also add "ML for the working programmer", which is, perhaps surprisingly, more about functional programming than the particularities of ML. In any case, it is a great book.


It is one of the only accessible texts on Standard ML, I'll give it that... But it goes neither deep nor wide in content. I did not find it very useful.


Some other texts w/SML:

The Little MLer: http://www.ccs.neu.edu/home/matthias/BTML/ which you can read with the revised Programming in SML http://www.cs.cmu.edu/~rwh/isml/book.pdf

Discrete Math & Functional Programming: https://cs.wheaton.edu/~tvandrun/dmfp/

Parallel & Sequential Algorithms uses SPARC which is similar to SML for examples in the book http://www.parallel-algorithms-book.com/




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