Some time back there was a discussion on which board processor combination
would be good for a workstation. My own machine has been down since many
days. One day everything was fine with my dual boot Intel 845 GEBV2 system
and I decided to install SP3 in my XP just for kicks. It was downloaded
properly from the doze update website and after a few minutes, it started
restarting my comp. The worst part was that my mobo got damaged and the HDD
controller is giving trouble. Live CDs run fine but even clean installation
of doze gives blue screen errors and linux gives hard disk read/write errors
midway during installation. It is time for me to go for a new board.
I would still go with Intel processors and Intel chipset boards (Not Intel
Original Boards). AMD may be good technically but their support in India is
not so good. Even simple crosschecking of processors or motherboards is
difficult as most repairers have Intel based products. In my experience I
have observed that higher end AMD products have better quality and life
compared to the low end ones. I have had 2 processor failures in limitted
quantities of AMD whereas Intel processors have been quite robust. Another
thing one should avoid is Asus motherboards with nVidia chipsets. They are
not very stable and solid.
As a proper list etiquette...
Please trim your replies.
Post your replies below the relevant original text, leaving a line space.
Do not re-use old messages to write new ones.
The open standards policy has been finalized and it incorporates many of the
suggestions made by the FOSS community in India. In the previous draft dated
25/11/2009, our major objection was to section 4.1.2 of the policy which
"4.1.2 The essential patent claims necessary to implement the Identified
Standard should preferably be
available on a Royalty-Free (no payment and no restrictions) basis for the
life time of the standard.
However, if such Standards are not found feasible and in the wider public
interest, then RF on Fair,
Reasonable and Non Discriminatory terms and conditions (FRAND) or Reasonable
Discriminatory terms and conditions (RAND) could be considered."
Our comment on this section reads:
The usage of terms like “preferably” in a section titled, “Mandatory
weakens the section and could even render it meaningless. Mandatory
characteristics should be laid
out clearly and unambiguously,
The term “essential patent claims,” is meaningless because a standard cannot
partially. Therefore, the ENTIRE standard should be royalty-free and not
just the "essential" parts of it.
In other words, ALL patent claims necessary to implement the standard should
be royalty-free. Also,
RF on FRAND/RAND is self-contradictory. If a Standard is Royalty Free (RF)
then it cannot be RAND.
Therefore, the wording of this section should be changed to "ALL patent
claims necessary to
implement the Identified Standard should be available on a Royalty-Free (no
payment and no
restrictions) basis for the life time of the standard. However, if such
Standards are not found feasible
and in the wider public interest, then Fair, Reasonable and Non
Discriminatory terms and conditions
(FRAND) or Reasonable and Non Discriminatory terms and conditions (RAND)
could be considered.”
As you can see from the extract below, the points mentioned above have been
incorporated In the recently finalized policy. This section now reads:
4.1.2 The Patent claims necessary to implement the Identified Standard shall
be made available on a Royalty-Free basis for the life time of the Standard.
Overall, I'd say this is a major victory for the Indian FOSS community and
more than three years of hard work have paid off. The file can be downloaded
on the links on the top left hand side).
---------- Forwarded message ----------
From: Amit Karpe <amitkarpe(a)gmail.com>
Date: Thu, Nov 11, 2010 at 2:46 AM
Subject: Fwd: [pandaboard] OMAP Tutorial Hour - Repeat sessions
---------- Forwarded message ----------
From: Thondar, Geetha <geethat(a)ti.com>
Date: Wed, Nov 10, 2010 at 7:26 AM
Subject: [pandaboard] OMAP Tutorial Hour - Repeat sessions
To: "pandaboard(a)googlegroups.com" <pandaboard(a)googlegroups.com>,
Please find details on the upcoming “OMAP Tutorial Hour” that will be
hosted on Nov 15th, Mon. There will be 2 sessions - 7 am & 1 pm CST
(Central Standard Time) (UTC-5).
These are Repeat Sessions from Oct to help the new users of the
PandaBoard community and to suit the different time zones.
· Introducing PandaBoard - Presented by Nipuna Gunasekera /
· Your guide to OMAPpedia - Presented by Geetha Thondar
7 am session:
WebEx URL: https://ti.webex.com/ti/j.php?ED=127004942&UID=0&RT=MiM3
Meeting Number: 757 998 605
Meeting Password: None
1 pm session:
WebEx URL: https://ti.webex.com/ti/j.php?ED=127006022&UID=0&RT=MiM3
Meeting Number: 759 506 916
Meeting Password: None
Teleconference Participant Code (same for both sessions): 42691576
Teleconference bridge number in USA: 1-877-561-6828 or (972) 995 7777
Teleconference bridge numbers for other countries please visit:
We invite you to present in a future session – please suggest your
topics at: http://www.omappedia.org/wiki/Tutorial_Hour_Topics
SciPy 2010 Call for Papers & Participation
The second SciPy India Conference (scipy.in) will be held from
December 13th to 18th, 2010 at IIIT-Hyderabad
Scipy.in is a conference providing opportunities to spread the use of
the Python programming language in the Scientific Computing community
in India. It provides a unique opportunity to interact with the "Who's
who" of the Python for Scientific Computing fraternity and learn,
understand, participate and contribute what is happening in the realms
of Scientific Computing using Python. Attendees of the conference and
participants of the sprints planned will be able to access and review
the tools available, apart from learning domain-specific applications
and how the tools apply to a plethora of application problems.
One of the goals of the conference is to combine education,
engineering and science with computing through the medium of Python
and thereby extrapolate on how powerful Scientific Computing is in
various fields and among different communities.
At this conference, novel applications and breakthroughs made in the
pursuit of science using Python are presented. Attended by leading
figures from both academia and industry, it is an excellent
opportunity to experience the cutting edge of scientific software
The conference is followed by three days of tutorials and code
sprints, during which community experts provide training on several
scientific Python packages.
We invite you to take part by submitting a talk abstract or register
as a participant on the conference website at: http://scipy.in
We solicit talks and accompanying papers (either formal academic or
magazine-style articles) that discuss topics regarding scientific
computing using Python, including applications, teaching, development
and research. Papers are included in the peer-reviewed conference
proceedings, published online.
Please note that submissions primarily aimed at the promotion of a
commercial product or service will not be considered.
Wednesday, Nov. 10: Abstracts Due
Monday, Nov. 15: Schedule announced
Sunday, Dec. 05: Proceedings paper submission due
Monday-Tuesday, Dec. 13-14: Conference
Wednesday-Friday, Dec. 15-17: Tutorials/Sprints
Saturday, Dec. 18: Sprints
The invited speakers
* Fernando Perez -- PhD from University of Colorado. Currently at the
Helen Wills Neuroscience Institute at the University of California,
Berkeley. Original author and leader of the IPython project for
interactive computing (http://ipython.scipy.org), and member of the
Python Software Foundation.
* John Hunter -- Ph.D. from University of Chicago. Currently at
Tradelink, Inc. Chicago. Original author and lead developer of the
scientific visualization package matplotlib.
* Perry Greenfield -- PhD, MIT. Currently at Space Telescope Science
Institute, Maryland, USA. Has pioneered the use of Python in
astronomy. He and his group have developed PyRAF, numarray (the
precursor to current numpy capabilities), PyFITS and involved with the
development of matplotlib.
* Prabhu Ramachandran -- PhD, IIT Madras. Currently a faculty member
at IIT Bombay. He is the co-founder of the Indian Linux User Group -
Chennai (ILUGC) and is the creator and lead developer of the
(FOSS-India-award-winning) Mayavi and TVTK Python packages
(http://code.enthought.com/projects/mayavi). Currently heads the
FOSSEE (http://fossee.in) project.
* Stéfan van der Walt -- PhD, Stellenbosch University, SA. Currently a
researcher and lecturer in Applied Mathematics at Stellenbosch
University. One of the developers of the NumPy and SciPy packages.
* Jarrod Millman -- Member of the SciPy steering committee and an
active contributor to both the NumPy and SciPy projects. He is the
acting managing director and the director of computing for UC
Berkeley's Neuroscience Institute, where he helped found the
Neuroimaging in Python (NiPy) project.
* Satrajit Ghosh -- PhD Boston University. Currently a faculty member
of the Speech and Hearing Biosciences and Technology program,
Harvard-MIT. He is managing the development of the NiPy project
* Asokan Pichai -- Head - Software Engineering at TalentSprint.
Consultant/Project manager for the Python group of the FOSSEE project.
He has immense experience in the field of training and instructional
* Jarrod Millman, Neuroscience Institute, UC Berkeley, USA (Conference Co-Chair)
* Prabhu Ramachandran, Department of Aerospace Engineering, IIT
Bombay, India (Conference Co-Chair)
* FOSSEE Team
* EnhanceEdu Team
Python is an interpreted, interactive, object-oriented, open source,
extensible programming language. It combines clarity and readability,
making it an extremely powerful language that can be used for various
applications and problems.
Python is simple and easy to learn and apply. It offers an interactive
environment in which to explore procedural, functional and object
oriented approaches to problem solving. Its high level data
structures, extensive documentation and clear syntax make it an ideal
first language, while the large number of existing libraries make it
suitable to tackle almost any programming tasks. Its simplicity makes
it easy to adapt to multiple educational domains.
Python has several libraries that enable numeric and symbolic
computing. It also interfaces well with native codes in C,C++ and
FORTRAN and has excellent libraries for plotting/visualization. Python
also provides libraries for general purpose computing including
generating user interfaces and web development. These, coupled with
it's interactive interpreter, make Python an excellent language for
All these features when combined with their wide-ranging applications
make Python a perfect fit for use in Education, Industry and
Registration, accommodation and food are offered at highly subsidized
rates for teachers and students, while registration and food will be
offered to all conference participants at subsidized rates. Details
about the fees can be found at:
The posters can be downloaded from the website :
Feel free to email the organizers at info(a)scipy.in
Anoop Jacob Thomas
FOSSEE, IIT Bombay.