LibreOffice 3.3.2

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the latest freest office productivity software in the world.

The Document Foundation maintains its release schedule thanks to a growing and vibrant community of developers

The Internet, March 22, 2011 – The Document Foundation announces LibreOffice 3.3.2, the second micro release of the free office suite for personal productivity, which further improves the stability of the software and sets the platform for the next release 3.4, due in mid May. The community of developers has been able to maintain the tight schedule thanks to the increase in the number of contributors, and to the fact that those that have started with easy hacks in September 2010 are now working at substantial features. In addition, they have almost completed the code cleaning process, getting rid of German comments and obsolete functionalities.

“I have started hacking LibreOffice code on September 28, 2010, just a few hours after the announcement of the project, and I found a very welcoming community, where senior developers went out of their way to help newbies like me to become productive. After a few hours I submitted a small patch removing 5 or 6 lines of dead code… enough to get my feet wet and learn the workflow”, says Norbert, a French developer living in the United States. “In a short time, I ended up removing the VOS library – deprecated for a decade – from LibreOffice, and finding and fixing various threading issues in the process”.

LibreOffice 3.3.2 is being released just one day after the closing of the first funding round launched by The Document Foundation to collect donations towards the 50,000-euro capital needed to establish a Stiftung in Germany. In five weeks, the community has donated twice as much, i.e. around 100,000 euros. All additional funds will be used for operating expenses such as infrastructure costs and registration of domain names and trademarks, as well as for community development expenses such as travel funding for TDF representatives speaking at conferences, booth fees for trade shows, and initial financing of merchandising items, DVDs and printed material.

Italo Vignoli, a founder and a steering committee member of The Document Foundation, will be keynoting at Flourish 2011 in Chicago on Sunday, April 3, at 10:30AM, about getting independent from OpenOffice and Oracle, starting The Document Foundation, raising the capital and the first community budget, organizing developers and other work, and outlining a roadmap for future releases and features.

The Document Foundation is at http://documentfoundation.org, while LibreOffice is at http://www.libreoffice.org. LibreOffice 3.3.2 is immediately available from the download page.

*** About The Document Foundation

The Document Foundation has the mission of facilitating the evolution of the LibreOffice Community into a new, open, independent, and meritocratic organization within the next few months. An independent foundation is a better reflection of the values of our contributors, users and supporters, and will enable a more effective, efficient and transparent community. TDF will protect past investments by building on the achievements of the first decade, will encourage wide participation within the community, and will co-ordinate activity across the community.

*** Media contacts for TDF

Florian Effenberger (Germany)
Mobile: +49 151 14424108 – E-mail: floeff@documentfoundation.org
Olivier Hallot (Brazil)
Mobile: +55 21 88228812 – E-mail: olivier.hallot@documentfoundation.org
Charles H. Schulz (France)
Mobile: +33 6 98655424 – E-mail: charles.schulz@documentfoundation.org
Italo Vignoli (Italy)
Mobile: +39 348 5653829 – E-mail: italo.vignoli@documentfoundation.org


Italo Vignoli – The Document Foundation
email italo.vignoli@documentfoundation.org
phone +39.348.5653829 – VoIP +39.02.320621813
skype italovignoli – italo.vignoli@gmail.com

Q&A with David Smith, Revolution Analytics.

Here’s a group of questions and answers that David Smith of Revolution Analytics was kind enough to answer post the launch of the new R Package which integrates Hadoop and R-                         RevoScaleR

Ajay- How does RevoScaleR work from a technical viewpoint in terms of Hadoop integration?

David-The point isn’t that there’s a deep technical integration between Revolution R and Hadoop, rather that we see them as complementary (not competing) technologies. Hadoop is amazing at reliably (if slowly) processing huge volumes of distributed data; the RevoScaleR package complements Hadoop by providing statistical algorithms to analyze the data processed by Hadoop. The analogy I use is to compare a freight train with a race car: use Hadoop to slog through a distributed data set and use Map/Reduce to output an aggregated, rectangular data file; then use RevoScaleR to perform statistical analysis on the processed data (and use the speed of RevolScaleR to iterate through many model options to find the best one).

Ajay- How is it different from MapReduce and R Hipe– existing R Hadoop packages?
David- They’re complementary. In fact, we’ll be publishing a white paper soon by Saptarshi Guha, author of the Rhipe R/Hadoop integration, showing how he uses Hadoop to process vast volumes of packet-level VOIP data to identify call time/duration from the packets, and then do a regression on the table of calls using RevoScaleR. There’s a little more detail in this blog post: http://blog.revolutionanalytics.com/2010/08/announcing-big-data-for-revolution-r.html
Ajay- Is it going to be proprietary, free or licensable (open source)?
David- RevoScaleR is a proprietary package, available to paid subscribers (or free to academics) with Revolution R Enterprise. (If you haven’t seen it, you might be interested in this Q&A I did with Matt Shotwell: http://biostatmatt.com/archives/533 )
Ajay- Any existing client case studies for Terabyte level analysis using R.
David- The VOIP example above gets close, but most of the case studies we’ve seen in beta testing have been in the 10’s to 100’s of Gb range. We’ve tested RevoScaleR on larger data sets internally, but we’re eager to hear about real-life use cases in the terabyte range.
Ajay- How can I use RevoScaleR on my dual chip Win Intel laptop for say 5 gb of data.
David- One of the great things about RevoScaleR is that it’s designed to work on commodity hardware like a dual-core laptop. You won’t be constrained by the limited RAM available, and the parallel processing algorithms will make use of all cores available to speed up the analysis even further. There’s an example in this white paper (http://info.revolutionanalytics.com/bigdata.html) of doing linear regression on 13Gb of data on a simple dual-core laptop in less than 5 seconds.
AJ-Thanks to David Smith, for this fast response and wishing him, Saptarshi Guha Dr Norman Nie and the rest of guys at Revolution Analytics a congratulations for this new product launch.