==========================================<br>SciPy 2010 Call for Papers & Participation<br>==========================================<br><br>The second SciPy India Conference (<a href="http://scipy.in/">scipy.in</a>) will be held from December 13th to 18th, 2010 at IIIT-Hyderabad (<a href="http://www.iiit.ac.in/">http://www.iiit.ac.in/</a>).<br>
<br>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.<br>
<br>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.<br>
<br>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 development.<br>
<br>The conference is followed by three days of tutorials and code
sprints, during which community experts provide training on several
scientific Python packages.<br><br>We invite you to take part by submitting a talk abstract or register as a participant on the conference website at: <a href="http://scipy.in/" target="_blank">http://scipy.in</a><br>
<br>Talk/Paper Submission<br>=====================<br><br>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.<br>
<br>Please note that submissions primarily aimed at the promotion of a commercial product or service will not be considered.<br><br>Important Dates<br>===============<br><br>Wednesday, Nov. 10: Abstracts Due<br>Monday, Nov. 15: Schedule announced<br>
Sunday, Dec. 05: Proceedings paper submission due<br>Monday-Tuesday, Dec. 13-14: Conference<br>Wednesday-Friday, Dec. 15-17: Tutorials/Sprints<br>Saturday, Dec. 18: Sprints<br><br>The invited speakers<br>==================<br>
<br>* 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 (<a href="http://ipython.scipy.org/" target="_blank">http://ipython.scipy.org</a>), and member of the Python Software Foundation.
<br><br>
* John Hunter -- Ph.D. from University of Chicago. Currently at
Tradelink, Inc. Chicago. Original author and lead developer of the
scientific visualization package <i>matplotlib</i>.<br><br>* 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.<br><br>*
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 (<a href="http://code.enthought.com/projects/mayavi" target="_blank">http://code.enthought.com/projects/mayavi</a>). Currently heads the FOSSEE (<a href="http://fossee.in/" target="_blank">http://fossee.in</a>) project.<br>
<br>* 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.<br><br>*
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.<br><br>
<br>* 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 (<a href="http://nipy.org/nipype/" target="_blank">http://nipy.org/nipype/</a>).<br><br>*
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
design.<br>
<br>Organizers<br>==========<br><br>* Jarrod Millman, Neuroscience Institute, UC Berkeley, USA (Conference Co-Chair)<br>* Prabhu Ramachandran, Department of Aerospace Engineering, IIT Bombay, India (Conference Co-Chair)<br>
* FOSSEE Team<br>* EnhanceEdu Team<br><br>About Python<br>============<br><br>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.<br>
<br>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.<br>
<br>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
Scientific Computing.<br>
<br>All these features when combined with their wide-ranging
applications make Python a perfect fit for use in Education, Industry
and Scientific Computing.<br><br>Registration Fees<br>===============<br><br>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: <a href="http://scipy.in/scipyin/2010/about/fees/" target="_blank">http://scipy.in/scipyin/2010/about/fees/</a><br>
<br>Publicity<br>========<br><br>The posters can be downloaded from the website : <a href="http://scipy.in/scipyin/2010/publicity/" target="_blank">http://scipy.in/scipyin/2010/publicity/</a><br><br>Contact<br>=======<br>
<br>Feel free to email the organizers at <a href="mailto:info@fossee.in" target="_blank">info@fossee.in</a><br>
<br>