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The idea of JDojo is to bring JavaScript and Dojo to Java. To achieve this, JDojo provides Java stubs for existing Dojo and JavaScript types a compiler participant to the Eclipse Java compiler that emits JavaScript files for each Java file compiled The programmer does not program against the Java JDK classes, but against Dojo and JavaScript stubs that JDojo provides. The compiler participant only allows a subset of the existing JDK classes and also limits the Java language constructs that can be used. To support important features that exist in JavaScript but are not available in Java, JDojo provides Java annotations that the programmer can use to instruct the compiler how to translate code. While the compiler still produces class files, what is of interest is the JavaScript code. Only the generated JavaScript code is executable, the Java code is not. Contrary to Java-JavaScript cross compilers, JDojo does not add anything on top of the JavaScript and Dojo types. JDojo programmers program against the DOM, Dojo widget and other existing Dojo classes the same way as they would do it when programming JavaScript. Therefore, the Java code a JDojo programmer writes looks very similar to the JavaScript code he would have written. However, the programmer now can take advantage of a typed programming environment and benefit from the Eclipse Java Tooling. The translator produces JavaScript that looks as similar as possible to the Java code (without the types), and matches what a JavaScript programmer would have written. This is important when executing and debugging the generated JavaScript; it is still easy to understand the JavaScript code and map a bug back to the Java code. JDojo also fits nicely in the existing Jazz web bundles. JDojo code is placed in a new Java source folder, while the generated JavaScript is inserted in 'resources' folder that also holds existing JavaScript code. To use existing JavaScript code in JDojo, 'Stub' classes can be added, containing only th

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Dot-to-Dot will be hosted by IS 339 on June 9, 2009." /> This is a cached version of http://339dottodot.com. Diigo.com has no relation to the site.x   0

translation tool

A new free tool to help businesses identify markets with high demand for their products or services. The Global Market Finder automatically translates your keyword-for example, [business suit]-into 56 languages and then uses Google search trends data to see where in the world people search for your product or service.

Second most reason for its popularity is that it is extremely feature rich, perhaps the highest extensible e-commerce platform out there. Additional functionalities are very important in e-commerce stores, the reason being huge competition and the fact that every store needs to look and feel different from each other in order to be successful. Plug-ins and extensions are numerous, from language translators, logistics management, PayPal integration, there is a script for every need. And the same items can be represented in different forms and manner from the same database.

Adobe Acrobat Pro XI Serial Number & Crack software is very useful for us which is very affected in Editing,Translations,Converting & Managed of a PDF files

Virtual keyboard

"Native iPhone and Android Applications Rock Titanium Mobile You've got the ideas, now you've got the power. Titanium translates your hard won web skills into native applications that perform and look just like they were written in Objective-C [iPhone and iPad] or Java [Android]. With over 300 APIs, a thriving developer community, and the support you need, you can build applications that are more social, local, media rich, interactive, and extensible. "

"The AI Startup Google Should Probably Snatch Up Fast" First, Google acquired a startup called DNNresearch, snapping up some of the world's foremost experts in a burgeoning field of artificial intelligence known as deep learning. Then it shelled out $400 million for a secretive deep learning startup called DeepMind. Much like Facebook, Microsoft, and others, Google sees deep learning as the future of AI on the web, a better way of handling everything from voice and image recognition to language translation. But there's one notable deep learning company that Google hasn't yet bought. It's called Clarifai, and it may remain as an independent operation. Clarifai, you see, wants to open up some of the deep learning secrets used by Google, Facebook, and other companies and share them with the rest of the world.