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Haskell

Haskell
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GHC/Data Parallel Haskell 1 Data Parallel Haskell Searching for Parallel Haskell? DPH is a fantastic effort, but it's not the only way to do parallelism in Haskell. Data Parallel Haskell is the codename for an extension to the Glasgow Haskell Compiler and its libraries to support nested data parallelism with a focus to utilise multicore CPUs. This is the performance of a dot product of two vectors of 10 million doubles each using Data Parallel Haskell. 1.1 Project status Data Parallel Haskell (DPH) is available as an add-on for GHC 7.4 in the form of a few separate cabal package. The current implementation should work well for code with nested parallelism, where the depth of nesting is statically fixed or no user-defined nested-parallel datatypes are used. DPH focuses on irregular data parallelism. Note: This page describes version 0.6.* of the DPH libraries. Disclaimer: Data Parallel Haskell is very much work in progress. 1.2 Where to get it $ cabal update$ cabal install dph-examples 1.3 Overview 1.9 Feedback

What happened when California tried to fix its homelessness crisis as the pandemic arrived | California Before the coronavirus even reached the US, California was already in the midst of a public health crisis. By March 2020, the Golden State’s homeless population made up more than a quarter of unhoused people in America. Nearly three-quarters of the more than 150,000 homeless people in the state were living unsheltered, oftentimes hard on the streets in encampments that seemed to pop up in cities from north to south. So when Covid-19 arrived in the spring and the governor, Gavin Newsom, shut California down to curb its spread, the two public health crises of homelessness and coronavirus collided head-on. How do you shelter-in-place if you don’t have shelter? State officials appeared to recognize the challenges facing the homeless population early on. Advocates and unhoused individuals have applauded the intent of the ventures. And, critics say, by allowing local jurisdictions to interpret the state mandates to some degree, success of the program has varied regionally. Others did.

An Introduction to the basic principles of Functional Programming After a long time learning and working with object-oriented programming, I took a step back to think about system complexity. "Complexity is anything that makes software hard to understand or to modify." — John Outerhout Doing some research, I found functional programming concepts like immutability and pure function. Those concepts are big advantages to build side-effect-free functions, so it is easier to maintain systems — with some other benefits. In this post, I will tell you more about functional programming, and some important concepts, with a lot of code examples. This article uses Clojure as a programming language example to explain Functional Programming. What is functional programming? Functional programming is a programming paradigm — a style of building the structure and elements of computer programs — that treats computation as the evaluation of mathematical functions and avoids changing-state and mutable data — Wikipedia Pure functions Why is this an impure function? TA-DA ?! Map

HomePage - Kwiki History of Programming Languages Wiki Among our friends, authors, and editors, there is a high level of historical knowledge and personal experience of the events in the History of Programming Languages poster. We hope to inspire and capture your comments and discussion here in in this wiki. Just click the EDIT button below to post your comments on this page. Please note, however, that we aren't planning to update the poster. Great Poster! I don't see how BASIC existed in splendid isolation excepAside from the name, Visual Basic and BASIC have very little in common. this the great Poster Thanks :Mohsen Basirat I'm somewhat distraught that Ruby isn't on the poster :Daniel Berger Ruby should be among these languages as well :Kent It's there. A somewhat lighter version: :Joao Fortran II begat a language called Tabol, Tabol begat FCS/EPS and FCS/EPS begat MicroFCS. It would make my life a little less meaningless :-) Agile Programming Languages Great Poster!

SHEDIA Haskell Haskell est un langage de programmation fonctionnel fondé sur le lambda-calcul et la logique combinatoire. Son nom vient du mathématicien et logicien Haskell Curry. Il a été créé en 1990 par un comité de chercheurs en théorie des langages intéressés par les langages fonctionnels et l'évaluation paresseuse. Le dernier standard est Haskell 2010 : c'est une version minimale et portable du langage conçue à des fins pédagogiques et pratiques, dans un souci d'interopérabilité entre les implémentations du langage et comme base de futures extensions. Le langage continue d'évoluer en 2020, principalement avec GHC, constituant ainsi un standard de facto comprenant de nombreuses extensions. Historique[modifier | modifier le code] Versions[modifier | modifier le code] Haskell 1.0 à 1.4 Le travail du comité se poursuivit de réunion en réunion et aboutit en 1990 à la définition de Haskell 1.0, suivi par diverses révisions pour les versions 1.1, 1.2, 1.3 et 1.4. Haskell 98 Haskell 2010 Versions de recherche

Computing Languages List - Profile :: CareerCtr HyperNews Home Using HyperNews (Instructions) HYPERNEWS COMPUTER LANGUAGE LIST v 1.4 These snippets have been culled from existing programming language sources, the language designer's web pages, books, articles and language critiques. They are by no means meant to be the definitive language definitions, but rather quick and painless definitions and links to available language web sites and newsgroups. Special Thanks to Dr John Stockton. Corrections, omissions, and any feedback is encouraged and appreciated. Please support Open Source. Eric Lebherz June 16,2005 EricLebherz@yahoo.com Part 1 - Definitions of Computer Language Families Part 2 - Definitions of Computer Languages Part 3 - Links to Essential Computer Language Web Sites Part 4 - Links to Computer Language Software Part 5 - Sammet's 26 Most Significant Programming Languages, By Year Part 6 - Bibliography Part 7 - Abbreviations APPLICATIVE LANGUAGES- operates by application of functions to values. QUERY LANGUAGES- an interface to a database.

La drogue, l’épidémie silencieuse qui ravage San Francisco Nombre de morts du Covid-19 à San Francisco en 2020 ? 235. Nombre de victimes de surdoses ? 699. Le rapport du médecin légiste de la ville publié en janvier a créé un choc : l’an dernier, la drogue a tué trois fois plus d’habitants que la pandémie. Comme dans le reste des Etats-Unis, la plupart des overdoses sont liées à la consommation de fentanyl, un opioïde de synthèse, apparu dans l’est des Etats-Unis en 2013, et cinq ans plus tard dans la baie de San Francisco. Lire aussi Overdoses d’opiacés : une « urgence de santé publique » nationale aux Etats-Unis Le Fentanyl est cinquante fois plus puissant que l’héroïne. La pandémie a aggravé les addictions. « La règle d’or de la prévention des surdoses, c’est d’éviter que l’individu reste seul », explique Kirsten Marshall, la responsable du projet DOPE (« drogue overdose prévention et éducation »), un programme d’assistance financé par la ville.

Lisp Lisp est la plus ancienne famille de langages de programmation à la fois impératifs et fonctionnels[1]. Développé initialement en tant que modèle pratique pour représenter des programmes (par contraste avec la notion théorique de machine de Turing), il est devenu dans les années 1970 et 80 le langage de choix pour la recherche en intelligence artificielle. Les langages Lisp sont aujourd'hui utilisés dans de nombreux domaines, de la programmation Web à la finance[2], et dans certains cursus de formation en informatique[3]. Le terme Lisp a été forgé à partir de l'anglais « list processing » (« traitement de listes »). Tous les dialectes de Lisp partagent les mêmes opérateurs de manipulation de listes chaînées simples. Lisp se distingue en outre par une syntaxe simple en notation préfixée, son typage dynamique des données, le support pour la programmation fonctionnelle, sa gestion automatique de la mémoire et la faculté de manipuler le code source en tant que structure de données. ni mais G.

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