Sign the Petition- please
Wikipedia Blackout
Who made Libre Office
From
http://www.libreoffice.org/about-us/credits/
Credits
513 individuals contributed to OpenOffice.org (and whose contributions were imported into LibreOffice) or LibreOffice until 2011-11-11 09:02:38.
Developers committing code since 2010-09-28
| Ruediger Timm Commits: 89832 Joined: 2000-10-10 |
Kurt Zenker Commits: 32763 Joined: 2000-09-25 |
Oliver Bolte Commits: 31795 Joined: 2000-09-19 |
Vladimir Glazunov Commits: 30289 Joined: 2000-12-04 |
| Jens-Heiner Rechtien [hr] Commits: 29314 Joined: 2000-09-18 |
Ivo Hinkelmann Commits: 10228 Joined: 2002-09-09 |
Caolán McNamara Commits: 5952 Joined: 2000-10-10 |
Frank Schoenheit [fs] Commits: 5019 Joined: 2000-09-19 |
| Hans-Joachim Lankenau Commits: 3077 Joined: 2000-09-19 |
Ocke Janssen [oj] Commits: 2861 Joined: 2000-09-20 |
Mathias Bauer Commits: 2606 Joined: 2000-09-20 |
Oliver Specht Commits: 2458 Joined: 2000-09-21 |
| Philipp Lohmann [pl] Commits: 2132 Joined: 2000-09-21 |
Tor Lillqvist Commits: 2035 Joined: 2010-03-23 |
Stephan Bergmann Commits: 1993 Joined: 2000-10-04 |
Christian Lippka ORACLE Commits: 1811 Joined: 2000-09-25 |
We do not distinguish between commits that were imported from the OOo code base and those that went directly into the LibreOffice code base as:
a) it is technically not possible to distinguish between commits that go directly into the LibreOffice code base and commits that were merged in from the OpenOffice.org code base, and
b) contributers to the OOo code base should also be credited for the excellent work they do.Do note that LibreOffice is divided into 20 git repositories. Pushing a change into all repositories will be counted as 20 commits as there is no way to distinguish this from 20 separate commits.
Total contributions to the TDF Wiki
1223 individuals contributed:
PMML Augustus
Here is a new-old system in open source for
for building and scoring statistical models designed to work with data sets that are too large to fit into memory.
http://code.google.com/p/augustus/
Augustus is an open source software toolkit for building and scoring statistical models. It is written in Python and its
most distinctive features are:
• Ability to be used on sets of big data; these are data sets that exceed either memory capacity or disk capacity, so
that existing solutions like R or SAS cannot be used. Augustus is also perfectly capable of handling problems
that can fit on one computer.
• PMML compliance and the ability to both:
– produce models with PMML-compliant formats (saved with extension .pmml).
– consume models from files with the PMML format.
Augustus has been tested and deployed on serveral operating systems. It is intended for developers who work in the
financial or insurance industry, information technology, or in the science and research communities.
Usage
Augustus produces and consumes Baseline, Cluster, Tree, and Ruleset models. Currently, it uses an event-based
approach to building Tree, Cluster and Ruleset models that is non-standard.
New to PMML ?
Read on http://code.google.com/p/augustus/wiki/PMML
The Predictive Model Markup Language or PMML is a vendor driven XML markup language for specifying statistical and data mining models. In other words, it is an XML language so that Continue reading “PMML Augustus”
Using Opera Unite to defeat SOPA?
Lets assume that the big bad world of American electoral politics forces some kind of modified SOPA to be passed, and the big American companies have to abide by that law (just as they do share data for National Security under Patriot Act but quitely).
I belive Opera Unite is the way forward to sharing content on the Internet.
From-
http://dev.opera.com/articles/view/opera-unite-developer-primer-revisited/
Opera Unite features a Web server running inside the Opera browser, which allows you to do some amazing things. At the touch of a button, you can share images, documents, video, music, games, collaborative applications and all manner of other things with your friends and colleagues
I can share music, and files , and the web server is actually my own laptop. try beating 2 billion new web servers that sprout!! File system sharing is totally secure- you can create private, public, or password protected files, a messaging system that can be used for drop messages (called fridge), a secure messaging system and your own web server is ready to start at a click. the open web may just use opera instead of chromium, and US regulation would be solely to blame. even URL blocking is of limited appeal thanks to software like MafiaWire Extension
Throw in Ad block, embedded bit torrent sharing and some more Tor level encryption within the browser and sorry Senator, but the internet belongs to the planet not to your lobbyist.
Going off Search Radar for 2012 Q1
I just used the really handy tools at
https://www.google.com/webmasters/tools/crawl-access
, clicked Remove URL
and submitted http://www.decisionstats.com
and I also modified my robots.txt file to
User-agent: *
Disallow: /
Just to make sure- I added the meta tag to each right margin of my blog
“<meta name=”robots” content=”noindex”>”
Now for last six months of 2011 as per Analytics, search engines were really generous to me- Giving almost 170 K page views,
Source Visits Pages/Visit
1. google 58,788 2.14
2. (direct) 10,832 2.24
3. linkedin.com 2,038 2.50
4. google.com 1,823 2.15
5. bing 1,007 2.04
6. reddit.com 749 1.93
7. yahoo 740 2.25
8. google.co.in 576 2.13
9. search 572 2.07
I do like to experiment though, and I wonder if search engines just –
1) Make people lazy to bookmark or type the whole website name in Chrome/Opera toolbars
2) Help disguise sources of traffic by encrypted search terms
3) Help disguise corporate traffic watchers and aggregators
So I am giving all spiders a leave for Q1 2012. I am interested in seeing impact of this on my traffic , and I suspect that the curves would not be as linear as I think.
Is search engine optimization over rated? Let the data decide…. 🙂
I am also interested in seeing how social sharing can impact traffic in the absence of search engine interaction effects- and whether it is possible to retain a bigger chunk of traffic by reducing SEO efforts and increasing social efforts!
Indian Govt tries to censor Internet
Stupidity is contiguous and Stupid Politicians are legion.
From-
Google Inc. and Facebook Inc. are fighting back against increasing censorship demands from the Indian government and courts, arguing that they aren’t legally responsible for monitoring their websites and proactively removing user content that regulators deem objectionable.
The big threat for the companies at the moment is a lawsuit in a New Delhi trial court, which seeks to hold them and several other websites criminally liable for not censoring online content, including material that mocks or criticizes religious and political figures.
Read more: http://online.wsj.com/article/SB10001424052970204542404577158342623999990.html#ixzz1jVPdAsNT
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One not so apparent reason for Indian Govt to censor Internet is that the internet and social media were used for massive anti-Govt and anti-corruption protests in 2011. The Govt found itself on the backfoot, newspapers and television in India are generally considered pliable and manipulable by Govt of India (thanks to ad spends).Judiciary in India is also not known to be 100% honest or resistant of political pressures.
The incumbent Congress govt needs more legal weapons in its arsenal given elections are approaching this year in many states, and the need for more arrows in legal quivers in India against the Internet is an inevitable and unfortunate next step. Since this is a global phenomenon (read- SOPA debate in US) ,and the huge huge internet population in India- this is one interesting battle to watch.
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