PUBLIC MARKS from decembre with tags dev & comment

Ce tutoriel fait suite au précédent tutoriel sur l'intérêt de l'utilisation d'un système de version. Vous apprendrez donc comment utiliser Github pour héberger vos projets fonctionnant avec Git. Vous apprendrez donc comment "forker" un projet existant et comment publier votre propre projet.

Firebug est une extension firefox incontournable pour tous les intégrateurs et développeurs web. Elle permet entre autre de voir comment le navigateur interprète les différents languages et permet aussi d’interagir en temps réel avec le code source. Plutôt que des longues explication une petite vidéo vous aidera à mieux comprendre comment firebug peux changer votre façon de débugger vos pages web

JSMin is a filter which removes comments and unnecessary whitespace from JavaScript files. It typically reduces filesize by half, resulting in faster downloads. It also encourages a more expressive programming style because it eliminates the download cost of clean, literate self-documentation.You can automate this process with a minimizing application which you can find here and an on-line javascript version here ______ You should note that while comments are useful for maintaining the code, they are a liability itself in Javascript since they will be transmitted along with the code to each and every page load, which can create substantial bandwidth penalties and increase the load time of your page for users. This doesn't mean you shouldn't comment your code, just that once your code is "finished" you should make a backup copy with the comments, then strip out all the comments in the file which is actually sent to the user.

Interestingness is a media (images, videos, etc) ranking algorithm to provide as an additional metric for search results. The algorithm is based upon an algorithm created by the Flickr team, and is further enhanced by metadata knowledge resulted from the Del.icio.us development. The algorithm was first unveiled publicly on Flickr on 2005-08-01.1 SML.SML: Interestingness = f(views, faves, comments, tags, time, user, network relationships); The ranking is based on one or more of the following factors: * the quantity of user-entered metadata2 (i.e. tags) * the number of users who have assigned metadata3 * the number of favorites assigned to the photo4 * relationship between the person who uploaded the photo and the people who are commenting5 * access patterns related to the media object6 (i.e. where the clickthroughs are coming from; who comments on it and when)7 * a lapse of time related to the media object8 (i.e. velocity of metadata acquisition)