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APPENDIX Benefits of SciPy.in 2010 Conference 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 objectives 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. Theme for Conference talks - "Scientific Python in Action" with respect to Application and Teaching About Python 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 makes 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 its interactive interpreter, make Python an excellent language for Scientific Computing. All these features when combined with their wide-ranging applications make Python a perfect fit for use in Education, Industry and Scientific Computing. The invited speakers of Scipy.in 2010 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. He is 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. He is a 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. He is one of the nominated member of Python Software Foundation (PSF) Stéfan van der Walt -- PhD, Stellenbosch University, SA. He is 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 (http://nipy.org/nipype/). 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. For detailed information about the speakers visit: http://scipy.in/scipyin/2010/talks-cfp/speakers/ Scipy.in 2010 Conference schedule Monday-Tuesday, Dec. 13th -14th 2010: Conference Wednesday-Friday, Dec. 15th – 17th 2010: Tutorials/Sprints Saturday, Dec. 18th 2010: Sprints Contact: SciPy.in 2010, EnhanceEdu Block C3, Vindhya C4, IIIT, Gachibowli, Hyderabad 500 032, Andhra Pradesh, India +91-40-6653 1357; Fax: +91-40-2300 0044 E-mail: [email protected]