Average Reviews:
(More customer reviews)I appreciate the consistency of exposition, especially when explaining recursion of execution and recursive datatypes using basis and induction cases. It's a book for those who are interested in the crossover between CS theory and mathematics, but only introductory calculus is necessary (and that's only in one section). If you come from a procedural programming background, as I did, this book is an excellent introduction to the techniques of functional programming. I would recommend reading this in conjunction with ML for the Working Programmer by Paulson. If you are looking for a gentler introduction to functional languages, like LISP and its sister Scheme, try The Little Schemer by Friedman and Felleisen.
Click Here to see more reviews about: Elements of ML Programming, ML97 Edition (2nd Edition)
Written by a well-known computer science education and researcher. No previous knowledge of ML or functional programming is assumed. This is the first book that offers BOTH a highly accessible, step-by-step introductory tutorial on ML programming and a complete reference to, and explanation of, advanced features. The author uses a wide variety of digestible program examples to bring the reader along at a reasonable pace. More sophisticated programs and advanced concept topics balance out a book that is usable in a number of courses and settings for either self-study or class discussion.
Click here for more information about Elements of ML Programming, ML97 Edition (2nd Edition)
