**SciPy 2016 Conference (Scientific Computing with Python) Announcement**
*Call for Proposals: Submit Your Tutorial and Talk Ideas by March 25, 2015 at http://scipy2016.scipy.org <http://www.scipy2015.scipy.org>. SciPy 2016 <http://www.scipy2016.scipy.org>, the 15th annual Scientific Computing with Python conference, will be held July 11-17, 2016 in Austin, Texas. SciPy is a community dedicated to the advancement of scientific computing through open source Python software for mathematics, science, and engineering. The annual SciPy Conference brings together over 650 participants from industry, academia, and government to showcase their latest projects, learn from skilled users and developers, and collaborate on code development. The full program will consist of 2 days of tutorials <http://scipy2016.scipy.org/ehome/146062/332967/?&&;> (July 11-12), 3 days of talks <http://scipy2016.scipy.org/ehome/146062/332968/?&&;> (July 13-15), and 2 days of developer sprints <http://scipy2016.scipy.org/ehome/146062/332969/?&&;> (July 16-17). More info is available on the conference website at http://scipy2016.scipy.org <http://www.scipy2016.scipy.org> (where you can sign up for the mailing list); or follow @scipyconf <https://twitter.com/scipyconf> on Twitter. We hope you’ll join us - early bird registration is open until May 22, 2016 at http://scipy2016.scipy.org/ehome/146062/332936/?&&; We encourage you to submit tutorial or talk proposals in the categories below; please also share with others who you’d like to see participate! Submit via the conference website: http://scipy2016.scipy.org <http://www.scipy2016.scipy.org>. ------------------------------------------------------------------------------------------------------------------------------ *SUBMIT A SCIPY 2016 TUTORIAL PROPOSAL- DUE MARCH 21, 2016* ------------------------------------------------------------------------------------------------------------------------------ Details and submission here: http://scipy2016.scipy.org/ehome/146062/332967/?&&; These sessions provide extremely affordable access to expert training, and consistently receive fantastic feedback from participants. We're looking for submissions on topics from introductory to advanced - we'll have attendees across the gamut looking to learn. Whether you are a major contributor to a scientific Python library or an expert-level user, this is a great opportunity to share your knowledge and stipends are available. ------------------------------------------------------------------------------------------------------------------------------ **SUBMIT A SCIPY 2016 TALK / POSTER PROPOSAL - DUE MARCH 25, 2016* ------------------------------------------------------------------------------------------------------------------------------ Details and submission here: http://scipy2016.scipy.org/ehome/146062/332968/?&&; SciPy 2016 will include 2 major topic tracks and 8 mini-symposia tracks. Major topic tracks include: - Python in Data Science (Big data and not so big data) - High Performance Computing Mini-symposia will include the applications of Python in: - Earth and Space Science - Biology and Medicine - Engineering - Social Science - Special Purpose Databases - Case Studies in Industry - Education - Reproducibility If you have any questions or comments, feel free to contact us at: [email protected] -------------------------------------------------------------------------- **SCIPY 2016 REGISTRATION IS OPEN** -------------------------------------------------------------------------- Please register early. SciPy early bird registration until May 22, 2016! Register at http://scipy2016.scipy.org. Plus, enter our t-shirt design contest to win a free registration. (Send a vector art file to [email protected] by March 31 to enter). -- You received this message because you are subscribed to the Google Groups "sympy" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at https://groups.google.com/group/sympy. To view this discussion on the web visit https://groups.google.com/d/msgid/sympy/61d501e8-4e92-4e96-8cec-9f4dfdd66f52%40googlegroups.com. For more options, visit https://groups.google.com/d/optout.
