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How to Design Programs: An Introduction to

How to Design Programs: An Introduction to Programming and Computing by Matthew Flatt, Matthias Felleisen, Robert Bruce Findler, Shriram Krishnamurthi

How to Design Programs: An Introduction to Programming and Computing



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How to Design Programs: An Introduction to Programming and Computing Matthew Flatt, Matthias Felleisen, Robert Bruce Findler, Shriram Krishnamurthi ebook
Page: 565
Format: djvu
ISBN: 0262062186, 9780262062183
Publisher: The MIT Press


It introduces several programming languages but has a strong emphasis on Python. How to Design Programs: An Introduction to Programming and Computing. Genetic Programming An Introduction On the Automatic Evolution of Computer Programs and its Applications - Morgan Kaufmann Genetic programming Complex adaptive systems - Koza J.R.. I didn't really learn to understand abstract-as-a-verb until I got it from the computer programming folks, via the How to Design Programs book (free at http://htdp.org if you're interested). How to Design Programs (in Scheme): http://www.htdp.org/2003-09-26/. Concrete Abstractions, An Introduction to Computer Science Using Scheme: http://www.gustavus.edu/+max/concrete-abstractions.html. Author: Matthias Felleisen, Robert Bruce Findler, Matthew Flatt, Shiram Krishnamurthi; Editon: September 2003 Version; Format: online HTML; Price: free. An Introduction to Parallel Programming uses a tutorial approach to show you how to develop effective parallel programs with MPI, PThreads, and OpenMP. Learning to Program An introduction to programming for those who have never programmed before, by Alan Gauld. The first undergraduate text to directly address compiling and running parallel programs on the new multi-core and cluster architecture, An Introduction to Parallel Programming explains how to design, debug, and evaluate the performance of Students in undergraduate parallel programming or parallel computing courses designed for the computer science major or as a service course to other departments; professionals with no background in parallel computing.

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