SciPy 2014 Conference for Scientific and Analytic Computing with Python Poised for Record Attendance

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The powerful tools and libraries the SciPy community has developed are used by millions of people to advance scientific inquest and innovation every day.

Austin, TX (PRWEB) June 05, 2014

Enthought, as Institutional Sponsor, today announced a record pace for registrations and sponsorships for the SciPy 2014 Conference being held July 6-12, 2014 in Austin, Texas. Early bird registrations significantly outpaced last year’s record number and the number of participating sponsor organizations is up nearly 50% from the 2013 event, reflecting the growing importance of data science and scientific computing across a broad array of industries and academic research. This year’s registrants hail from over 25 countries and represent academia, government and industries such as aerospace, market research, finance, electronics, geoscience, healthcare and more.

“Since 2001, the SciPy Conference has been a highly anticipated annual event for the scientific and analytic computing community,” states Dr. Eric Jones, Enthought CEO and SciPy Conference co-founder. “Over the last 13 years we’ve witnessed Python emerge as the de facto open source programming language for science, engineering and analytics with widespread adoption in research and industry. The powerful tools and libraries the SciPy community has developed are used by millions of people to advance scientific inquest and innovation every day.”

Special themes for this year’s conference are “Geospatial Data in Science” and “Scientific Computing in Education,” with this year’s keynote speakers to include:

●    Lorena Barba, sought-after speaker about high performance computing, fast and efficient algorithms and computational science and Associate Professor of Mechanical and Aerospace Engineering at the George Washington University,
●    Greg Wilson, creator of Software Carpentry, a crash course in computing skills for scientists and engineers, and
●    Nick Coghlan, CPython core developer and Python Software Foundation fellow.

They are joined by over 100 talk and poster paper speakers/presenters with additional mini-symposia on Astronomy and Astrophysics, Bioinformatics, Computational Social Science, Digital Humanities, Engineering, Geophysics, Geospatial Computing, and Vision, Visualization, and Imaging.

Sponsors for this year’s conference have grown 50% from last year. Enthought is the Institutional Sponsor for the conference. Gold level sponsors include: RealMassive, Microsoft, Rackspace, Google, University of Washington, The D. E. Shaw Group, Endgame, Python Software Foundation, GitHub, The Bidding Network, Susquehanna Investment Group, Continuum Analytics, and NumFOCUS. Silver level sponsors include: Resilient Science, IIT Bombay, Kitware, US Geological Survey, Los Alamos National Laboratory, and Creare. Community and Media sponsors include: O’Reilly Media, PyLadies Austin, Center for Open Science, Women Who Code, and Python Weekly.

About Enthought
Founded in 2001, Enthought, Inc. is a dynamic, growing company with a mission to significantly improve the way scientific and analytic computing is accomplished by providing powerful tools and expert services for quantitative data analysis and visualization. Enthought has an exceptional customer base comprised of some of the most respected names in the financial services, oil and gas, consumer products, and technology industries. Headquartered in Austin, Texas, Enthought has offices in New York City, United States, Cambridge, United Kingdom, and Mumbai, India. For more information visit http://www.enthought.com.

About the SciPy Conference
SciPy 2014, the thirteenth annual Scientific Computing with Python conference, will be held July 6-12, 2014 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 allows participants from all types of organizations to showcase their latest projects, learn from skilled users and developers, and collaborate on code development.

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