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Note: the originally planned meeting, titled "High Performance Computation, Numerical Computation, and Number Theory" and to be held at UT Austin, has been postponed, probably to September 2008.  
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* Craig Citro (UCLA)  * Josh Kantor (University of Washington) 
Sage/Scipy Days 8 at Enthought
Connecting Pure Mathematics With Scientific Computation
ORGANIZERS:
 Josh Kantor (University of Washington)
 Travis Oliphant (Enthought)
 Fernando Perez (Berkeley)
 Fernando RodriguezVillegas (UT Austin)
 William Stein (University of Washington)
Original full announcement:
Sage/Scipy Days 8 at Enthought
Connecting Pure Mathematics With Scientific Computation
Contents
Introduction
The Sage and Scipy teams and Enthought Inc. are pleased to announce the first collaborative meeting for Sage/Scipy joint development, to be held from February 29 until March 4, 2007 at the Enthought headquarters in Austin, Texas.
The purpose of this meeting is to gather developers for these projects in a friendly atmosphere for a few days of technical talks and active development work. It should be clear to those interested in attending that this is not an academic conference, but instead an opportunity for the two teams to find common points for collaboration, joint work, better integration between the projects and future directions. The focus of the workshop will be to actually implement such ideas, not just to plan for them.
 Sage
 is a Pythonbased system which aims at providing an open source, free alternative to existing propietary mathematical software and does so by integrating multiple open source projects, as well as providing its own native functionality in many areas. It includes by default the NumPy and SciPy packages.
 NumPy and SciPy
 are Python libraries whose focus is highperformance numerical computing, and they are widely accepted as the foundation of most Pythonbased scientific computing projects.
 Enthought
 is a scientific computing company that produces Pythonbased tools for many applicationspecific domains. Enthought has a strong commitment to open source development: it provides support and hosting for Numpy, Scipy, and many other Python scientific projects and many of its tools are freely available.
The theme of the workshop is finding ways to best combine our strengths to create something that is significantly better than anything ever done so far.
Location
The workshop will be held at the headquarters of Enthought Inc.:
Suite 2100 515 Congress Ave. Austin, TX 78701 (512) 5361057, voice (512) 5361059, fax
Costs and Funding
We can accomodate a total of 30 attendees at Enthought's headquarters for the meeting. There is a $100 registration fee, which will be used to cover coffee, snacks and lunches for all the days of the meeting, plus one group dinner outing. Attendees can use the wiki to coordinate room/car rental sharing if they so desire.
Thanks to Enthought's generous offer of support, we'll be able to cover the above costs for 15 attendees, in addition to offering them housing and transportation. Please note that housing will be provided at Enthought's personal residences, so remember to bring your clean pajamas.
We are currently looking into the possibility of additional funding to cover the registration fee for all attendees, and will update the wiki accordingly if that becomes possible.
If you plan on coming please email Fernando.Perez@colorado.edu to let us know of your intent so we can have a better idea of the total numbers. Please indicate if you could only come under the condition that you can be hosted. We will try to offer hosting to as many of the Sage and Scipy developers as possible, but if you can fund your own expenses, this may open a slot for someone with limited funds. If the total attendance is below 15, we will offer hosting to everyone.
We will close registration for those requesting hosting by Sunday, February 3, 2008. If we actually fill up all 30 available slots we will announce it, otherwise you are free to attend by letting us know anytime before the meeting, though past Feb. 1 you will be required to pay the registration fee of $100.
Contacts and further information
For further information, you can either contact one of the following people (in parenthesis we note the topic most likely to be relevant to them):
 William Stein (Sage): wstein@gmail.org
 Fernando Perez (Scipy): Fernando.Perez@colorado.edu
 Travis Oliphant (Enthought): oliphant@enthought.com
or you can go to our wiki for up to date details.
Preliminary agenda
Friday 29: Talks
This is a rough cut of suggested topics, along with a few notes on possible details that might be of interest. The actual material in the talks will be up to the presenters, of course. Some of these topics might just become projects to work on rather than actual talks, if we don't have a speaker available but have interested parties who wish to focus on the problem.
Speakers are asked to include a slide of where they see any chances for better collaboration between the various projects (to the best of their knowledge). There will be a notetaker during the day who will try to keep tabs on this information and will summarize it as starting material for the joint work panel discussion to be held on Saturday (FPerez volunteers for this task if needed).
 Numpy internal architecture and type system.
 Sage internal type system, with emphasis on its number type system.
 A clarification of where the 'sage language' goes beyond python. Things like A\b are valid in the CLI but not the notebook. Scipy is pure python, so it would help the scipy team better understand the boundaries between the two.
 Special methods used by Sage (foo._magical_sage_method_)? If some of these make sense, we might want to agree on common protocols for numpy/scipy/sage objects to honor.
 Sage usage of numpy, sage.matrix vs numpy.arrays. Smoother integration of numpy arrays/sage matrices and vectors.
 Extended precision LAPACK. Integration in numpy/sage. The extended precision work LAPACK work was done by Y. Hida and J. Demmel at UC Berkeley.
 Distributed/Parallel computing: DSage, ipython, Brian Granger's work on Global arrays for NASA...
 Scikits: these are 'toolkits' that use numpy/scipy and can contain GPL code (details of how these will work are being firmed up in the scipy lists, and will be settled by the workshop). Perhaps some of SAGE's library wrappers (like GMP, MPFR or GSL) could become scikits?
 Cython: status (inclusion in py2.6?), overview, opportunities for better numpy integration and usage.
 Enthought technologies: Traits, TVTK, Mayavi, Chaco, Envisage.
 User interface collaboration: 'sagelite'/pylab/ipython code sharing possibilities?
Saturday 1: More talks/code planning/coding
911 am: Any remaining talks that didn't fit on Friday. Only if needed.
1112: panel for specific coding projects and ideas, spill over into lunch time.
121: lunch.
Rest of day: start coding! Organize in teams according to the plans made earlier and code away...
Sunday 2: Coding
Work on projects decided above.
56pm: brief (510 minutes) status updates from coding teams. Problems encountered, progress, suggestions for adjustment.
Monday 3: Coding
Same as Sunday.
Tuesday 4: Wrapup
911 am: Wrapup sessions with summary from coding projects.
1112 am: Panel discussion on future joint work options.
Afternoon: anyone left around can continue to code!