June 2012 Blog Posts (4)

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JavaFX and SteelSeries gauges using FXML

Gerrit Grunwald, aka @hansolo_ on twitter, has just ported his Swing based gauges and meters framework known as SteelSeries to JavaFX as part of the JFXtras-lab project. I can't tell you how many times since Java AWT first came out, that I have had to use meters…

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Added by Jim Clarke on June 25, 2012 at 9:30pm — No Comments

Simple example of Using Spring+JAXRS+MongoDB

FYI,

I will be expanding on it later, but might be an interesting read for some...

http://jackietutorial.blogspot.com/2012/06/springmongodbwebspherejaxrsmaven-part-1.html

Added by Jackie Gleason on June 18, 2012 at 4:01pm — No Comments

JCertif 2012 - Call For Paper : The biggest Java/Andoid Community Event in Africa !!

JCertif 2012 Call for Papers Now Open -- http://www.jcertif.com!

As some of you already know. The next edition of JCertif is coming and will take place on September 03th-09th in Brazzaville, Congo.

If you have an interesting presentation idea, we want to hear from…

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Added by Max Bonbhel on June 7, 2012 at 12:48am — 1 Comment

JavaFX 2.2 Canvas

One of the cool new features of the JavaFX 2.2 developer preview release is a new Canvas node that allows you to do free drawing within an area on the JavaFX scene similar to the HTML 5 Canvas. You can download this release for Windows, Mac, and Linux from JavaFX Developer Preview.

Being adventurous, I decided to take the JavaFX Canvas for a spin around the block. In doing…

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Added by Jim Clarke on June 3, 2012 at 8:11pm — No Comments

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InfoQ Reading List

Presentation: No Moore Left to Give: Enterprise Computing After Moore's Law

Bryan Cantrill talks about Moore's Law which, after years of defying predictions of its demise, it is now indisputably dying. But what does the end of Moore's Law mean for practitioners of enterprise computing? He explores potential ramifications, including not only the exotic world of emerging substrates, but much more mundane notions of scale, durability, economics and (yes!) accounting.

By Bryan Cantrill

Presentation: Learning from Machines

Ashi Krishnan discusses biological and artificial minds, exploring how models of cognition informed by ML and computation can help reconfigure processes of being.

By Ashi Krishnan

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