Logo

Sketchy LISP by Nils M Holm

Large book cover: Sketchy LISP

Sketchy LISP
by

Publisher: Lulu Press
ISBN/ASIN: 1411674480
ISBN-13: 9781411674486
Number of pages: 180

Description:
Sketchy LISP is a step-by-step introduction to functional programming in Scheme. It covers various aspects of the language including data types, conditional evaluation, list processing, lexical scoping, closures, recursion, dynamic typing, etc. By means of numerous examples of varying complexity, it takes the reader on an entertaining and informative tour through the language.

Home page url

Download or read it online for free here:
Download link
(multiple formats)

Similar books

Book cover: Simply Scheme: Introducing Computer ScienceSimply Scheme: Introducing Computer Science
by - The MIT Press
For anyone learning the Scheme programming language, the second edition of 'Simply Scheme: Introducing Computer Science' provides a very digestible textbook-style introductory tutorial to this powerful and elegant language.
(19626 views)
Book cover: The Scheme Programming Language: ANSI SchemeThe Scheme Programming Language: ANSI Scheme
by - Prentice Hall
This book is a straightforward introduction to Scheme, it brings the material up to date with respect to the ANSI standard. It covers the properties and features of Scheme, programming, and Scheme's procedures and syntactic forms.
(15496 views)
Book cover: Write Yourself a Scheme in 48 HoursWrite Yourself a Scheme in 48 Hours
by - Wikibooks
You'll start off with command-line arguments and parsing, and progress to writing a fully-functional Scheme interpreter that implements a good-sized subset of R5RS Scheme. Along the way, you'll learn Haskell's I/O, mutable state and dynamic typing.
(18693 views)
Book cover: Concrete Abstractions: An Introduction to Computer Science Using SchemeConcrete Abstractions: An Introduction to Computer Science Using Scheme
by - Course Technology
The book Concrete Abstractions covers the programming and data structures basics. It will give first-time computer science students the opportunity to not only write programs, but to prove theorems and analyze algorithms as well.
(20953 views)