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Géolocalisation en HTML5

Géolocalisation en HTML5

http://www.alsacreations.com/tuto/lire/926-geolocalisation-geolocation-html5.html

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HTML 5 Reference It is useful to make a distinction between the vocabulary of an HTML document—the elements and attributes, and their meanings—and the syntax in which it is written. HTML has a defined set of elements and attributes which can be used in a document; each designed for a specific purpose with their own meaning. Consider this set of elements to be analogous to the list of words in a dictionary. Apache Hadoop Copyright © 2010 Lars Vogel Apache Hadoop This article describes how to use Apache Hadoop. Apache Hadoop is a software solution for distributed computing of large datasets. Hadoop provides a distributed filesystem (HDFS) and a MapReduce implementation. A special computer acts as the "name node".

The 60 Best Street Art Works of 2014 Street art has come in leaps in bounds in the last few years and there seems to be no ends to the creativity and imagination of the world’s street artists. To celebrate this, here are the best 60 street art works for 2014. What’s your favorite? By Oakoak France:

HTML5 Watch #Portal for mobile/desktop browsers Full WriteupKeyboard Controls: It’s AWSD or arrow keys for movement and mouse button and mouse movement for the portal gun. On mobile, it’s hold down your finger to run toward your finger and hold down above you to jump, tap to aim and fire the portal gun, and second finger (multi-touch) to move the portal gun without firing (like to maneuver a held box).

Hadoop Tutorial home | Cloud Types | Related Technologies What is Hadoop? Miha Ahronovitz, Ahrono & Associates Kuldip Pabla, Ahrono & Associates Hadoop is a fault-tolerant distributed system for data storage which is highly scalable. The scalability is the result of a Self-Healing High Bandwith Clustered Storage , known by the acronym of HDFS (Hadoop Distributed File System) and a specific fault-tolerant Distributed Processing, known as MapReduce. (Hadoop Distributed File System) and a specific fault-tolerant Distributed Processing, known as MapReduce.

How to create incredible self portrait sketches Want to turn your self-portrait photos into fine art? Paris-based photographer and graphic designer Sébastien Del Grosso has some techniques he’d like to share with you! Sample images Read full tutorial at 500px…

Create a Website using UI Packs (PSD to HTML) - Day 1 Introduction During the past months we released on DesignModo a few User Interface Packs. All this UI Packs were made in Photoshop and we received a lot of requests to create some tutorials about how to use the elements of this UI packs on the web, so today we will start a new tutorial series. In these tutorials we will code a PSD template using HTML, CSS and JavaScript. Lest start with a brief introduction about the UI Packs. Getting Started with Hadoop and Map Reduce Have you been wanting to learn Hadoop, but have no idea how to get started? Carlo Scarioni has a basic Hadoop tutorial that covers installing Hadoop, creating a Hadoop Distributed File System (HDFS), moving files into HDFS, and creating a simple Hadoop application. The tutorial also introduces the basic concepts of Map Reduce. It doesn't, however, get into distributing the application, which is the main point of using Hadoop in the first place.

Hadoop Tutorial Apache Hadoop Yahoo! Hadoop Tutorial Table of Contents Welcome to the Yahoo! Hadoop Tutorial. Apache Hadoop Apache Hadoop is an open-source software framework for storage and large-scale processing of data-sets on clusters of commodity hardware. Hadoop is an Apache top-level project being built and used by a global community of contributors and users.[2] It is licensed under the Apache License 2.0. The Apache Hadoop framework is composed of the following modules:

Connecting to a MongoDB database from R using Java It would be nice if there were an R package, along the lines of RMySQL, for MongoDB. For now there is not – so, how best to get data from a MongoDB database into R? One option is to retrieve JSON via the MongoDB REST interface and parse it using the rjson package. Assuming, for example, that you have retrieved your CiteULike collection in JSON format from this URL: - and saved it to a database named citeulike in a collection named articles, you can fetch the first 5 articles into R like so:

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