========================== SciPy 2010 Call for Papers ==========================
SciPy 2010, the 9th Python in Science Conference, will be held from June 28th - July 3rd, 2010 in Austin, Texas. 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. The conference is preceded by two days of paid tutorials, during which community experts provide training on several scientific Python packages. We invite you to take part by submitting a talk abstract on the conference website at: http://conference.scipy.org Talk/Paper Submission ===================== 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. Important dates for authors include: * 11 April: Talk abstracts due * 20 April: Notification of acceptance * 13 June: Papers due * 15 August: Publication of proceedings Further detail will be made available on http://conference.scipy.org Conference Dates ================ * Friday, 10 May: Early registration ends * Monday-Tuesday, 28-29 June: Tutorials * Wednesday-Thursday, June 30-July 1: Conference * Friday-Saturday, July 2-3: Coding Sprints Executive Committee =================== * Conference: Jarrod Millman & Eric Jones * Program: Stefan van der Walt & Ondrej Certik * Student Sponsorship: Travis Oliphant For more information on Python, visit http://www.python.org. ------------------------------------------------------------------------------ Download Intel® Parallel Studio Eval Try the new software tools for yourself. Speed compiling, find bugs proactively, and fine-tune applications for parallel performance. See why Intel Parallel Studio got high marks during beta. http://p.sf.net/sfu/intel-sw-dev _______________________________________________ Matplotlib-devel mailing list Matplotlib-devel@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/matplotlib-devel
