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G-14 Company - G-14 Browsers TideSDK | Create multi-platform desktop apps with HTML5, CSS3 and JavaScript The Ren'Py Visual Novel Engine Framework .NET Un article de Wikipédia, l'encyclopédie libre. Le .NET Framework[1] est un framework pouvant être utilisé par un système d'exploitation Microsoft Windows et Microsoft Windows Mobile depuis la version 5 (.NET Compact Framework). Une version légère et limitée fournie avec un moteur d'exécution fonctionnant à l'intérieur d'un navigateur ou d'un périphérique mobile est disponible sous le nom de Silverlight. La version 3.0 du framework est intégrée à Windows Vista et à la plupart des versions de Windows Server 2008 ou téléchargeable depuis le site de l'éditeur Microsoft. Le framework .NET s'appuie sur la norme Common Language Infrastructure (CLI) qui est indépendante du langage de programmation utilisé. Ainsi tous les langages compatibles respectant la norme CLI ont accès à toutes les bibliothèques installées (installables) dans l'environnement d'exécution. Framework .Net +CLR = Plate-forme .Net[modifier | modifier le code] Elle est composée des deux principaux blocs :
Open Source Training Apache JMeter - Apache JMeter™ JavaScript Tutorial Ask Ars: Why are some programming languages faster than others? In our look at scientific computing and the continued longevity of Fortran in science and engineering circles, one of the recurring themes in the discussion that followed was performance. One of the big reasons that Fortran remains important is because it's fast: number crunching routines written in Fortran tend to be quicker than equivalent routines written in most other languages. The languages that are competing with Fortran in this space—C and C++—are used because they're competitive with this performance. This raises the question: why? What is it about C++ and Fortran that make them fast, and why do they outperform other popular languages, such as Java or Python? Interpreting versus compiling There are many ways to categorize and define programming languages, according to the style of programming they encourage and features they offer. The divide is not hard; rather, there's a spectrum. This compilation process has several steps. Actually executing the code happens later.
» Tips for Everyone Doing the #codeyear ACRL Tech Connect Learn to Code in 2012! If you are a librarian interested in learning how to code, 2012 is a perfect year for you to start the project. Thanks to CodeAcademy ( free JavaScript lessons are provided every week at The lessons are interactive and geared towards beginners. So even if you do not have any previous experience in programming, you will be able to pick up the new skill soon enough as long as you are patient and willing to spend time on mastering each lesson every week. A great thing about this learn-how-to-program project, called #codeyear in Twitter (#libcodeyear and #catcode in the library-land) is that there are +375,443 people (and counting up) out there who are doing exactly the same lessons as you are. Now, if you are ready to dive in, here are some useful resources. Resources for Collective Learning Syntax Error: Catch the most frustrating bugs! Let me tell you. The examples of seemingly innocuous syntax errors are:
Coder for Raspberry Pi A simple way to make web stuff on Raspberry Pi. Coder is a free, open source project that turns a Raspberry Pi into a simple platform that educators and parents can use to teach the basics of building for the web. New coders can craft small projects in HTML, CSS, and Javascript, right from the web browser. Download Coder 1.33GB | Coder v0.9Now supports Raspberry Pi 2! How to Install and Connect. Download, unzip, and run the Coder Installer. Mac users, just run the provided installer.PC users, check out our Windows-specific Instructions for more installation details. Insert your new Coder SD card into your Pi, make sure your Pi and your computer are plugged into the network, and power it up. The Pi will be your new web server. On your computer, visit in Chrome to connect to your new Coder and start playing. [Note: You will see a warning about Coder's certificate. Download and run the Coder Installer with any 4GB SD Card. Getting to Know Coder. Click on any app to open it up.
MIT y el futuro de la educación: anuncian clases gratuitas en línea By Publicado:febrero 13, 2012Publicado en: Cultura Digital, InternetTags: educación, educación en línea, MIT El Massachusetts Institute of Technology es una de las escuelas de ciencias más renombradas del planeta y ha anunciado un nuevo programa con el que estarán dando una versión gratuita de una de sus clases en línea. El programa se llama MITx y la primer clase que se dará el próximo otoño -para los que estamos en el hemisferio norte- es 6.002x Circuits and Electronics. La clase no tendrá costo alguno, no habrá prerequisitos, cualquiera en cualquier lugar se puede inscribir y recibirá un certificado cuando lo complete. Aún así, el programa de MIT difiere de una manera interesante con el de Stanford; por ejemplo si en Stanford se hablaba de que era un curso “elemental” en el caso de MIT estamos hablando de lo más básico entre lo básico. Además, se tiene el caso de que MIT no hará como hizo Stanford, que trató de usar las herramientas que ya existen para crear comunidad, como Reddit.
Hadoop Un article de Wikipédia, l'encyclopédie libre. Hadoop a été créé par Doug Cutting et fait partie des projets de la fondation logicielle Apache depuis 2009. Historique[modifier | modifier le code] En 2004, Google publie un article présentant son algorithme basé sur des opérations analytiques à grande échelle sur un grand cluster de serveurs, le MapReduce, ainsi que son système de fichier en cluster, le GoogleFS. Doug Cutting, qui travaille à cette époque sur le développement de Apache Lucene et rencontre des problèmes similaires à ceux de la firme de Mountain View, décide alors de reprendre les concepts décrits dans l'article pour développer sa propre version des outils en version Open Source, qui deviendra le projet Hadoop. Architecture[modifier | modifier le code] Hadoop Distributed File System[modifier | modifier le code] Une architecture de machines HDFS (aussi appelée cluster HDFS) repose sur deux types de composants majeurs : MapReduce[modifier | modifier le code]