PPT-Functional Programming with Haskell

Author : yoshiko-marsland | Published Date : 2016-02-23

CSC 372 Spring 2015 The University of Arizona William H Mitchell whmcs CSC 372 Spring 2015 Haskell Slide 1 Programming Paradigms CSC 372 Spring 2015 Haskell Slide

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Functional Programming with Haskell: Transcript

CSC 372 Spring 2015 The University of Arizona William H Mitchell whmcs CSC 372 Spring 2015 Haskell Slide 1 Programming Paradigms CSC 372 Spring 2015 Haskell Slide 2 Thomas Kuhns The Structure of Scientific Revolutions. Simon Peyton Jones (Microsoft Research). Tokyo Haskell Users Group. April 2010. Most new programming languages. 1yr. 5yr. 10yr. 15yr. 1,000,000. 1. 100. 10,000. The quick death. Geeks. Practitioners. Chapter 5, Part I. Topics. Higher Order Functions. map, filter. Infinite lists. Get out a piece of paper… we’ll be doing lots of tracing. Higher Order Functions*. A function that can . take a function . Author: Prof . Graham Hutton. Functional Programming Lab. School of Computer Science. University of Nottingham, . UK. (Used . with Permission). 1. The > prompt means that the system is ready to evaluate an expression.. Chapter 1, Part I. Why are we doing this?. http://stackoverflow.com/questions/3175656/why-should-i-want-to-learn-haskell. http://programmers.stackexchange.com/questions/25569/is-haskell-worth-learning. Jost Berthold. Simon Marlow. Abyd Al Zain. Kevin Hammond. The Parallel Haskell Landscape. research into parallelism using Haskell has been ongoing since the late 1980s. semi-implicit, deterministic programming model: . Chapter 3 - Types and Classes. 1. What is a Type?. A . type. is a name for a collection of related values. For example, in Haskell the basic type. True. False. Bool. contains the two logical values:. Topics. Higher Order Functions. map, filter. Infinite lists. Get out a piece of paper… we’ll be doing lots of tracing. Higher Order Functions*. A function that can . take a function . as parameters. 1-. 1. The objective of the design of a FPL is to mimic mathematical functions to the greatest extent possible. The basic process of computation is fundamentally different in a FPL than in an imperative language. Parallel Programming in Haskell David Walker Optional Reading: “Beautiful Concurrency”, “The Transactional Memory / Garbage Collection Analogy” “ A Tutorial on Parallel and Concurrent Programming in The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand The Desired Brand Effect Stand Out in a Saturated Market with a Timeless Brand

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