[Matplotlib-users] ANN: Last Call for SciPy 2015 Registration (Scientific Python Conference - July 8-10)

[Courtenay G. <cgo...@en...>]

Last Call to Register for
SciPy 2015 (Scientific & Analytic Python Conference)
<http://scipy2015.scipy.org/ehome/115969/292868/?&>
Main conference July 8-10, tutorials July 6-7 & coding sprints July 11-12!Here
are just a few reasons you don't want to miss this year's SciPy
Conference (Online
registration closes 7/3/15
<http://scipy2015.scipy.org/ehome/115969/259272/?&>):

   1. *2 full days of 90 talks + 40 posters* on topics specific to Python
   for science, engineering, and data analysis you won't hear anywhere else.See
   the full list of talks and posters here
   <http://www.scipy2015.scipy.org/ehome/115969/292868/?&>.
2. *Meet and talk with over 500 attendees *representing diverse backgrounds
   and industries, gathering to share their Python experience and learn from
   each other.
   3. *Incredible keynote speakers:* hear from Wes McKinney, author of
   Pandas <http://pandas.pydata.org/>; Chris Wiggins, Chief Data Scientist
   for The New York Times
   <http://www.fastcompany.com/3026162/most-creative-people/why-the-new-york-times-hired-a-biology-researcher-as-its-chief-data-sci>;
   and Jake VanderPlas, director of research at the University of Washington's
   eScience Institute and core contributor to a number of scientific Python
   libraries including sci-kit learn <http://scikit-learn.org/> and AstroML
   <http://www.astroml.org/>.
   4. *Great social events
   <http://scipy2015.scipy.org/ehome/115969/291345/?&>* to network and get
   to know other attendees, including a riverboat cruise on Lady Bird Lake,
   diversity luncheon, annual reception, and conference kick-off reception.
   5. *Attend tutorials from major community contributors. *Seats are still
   available for Software Carpentry, Machine Learning with Sci-Kit Learn (2nd
   session opened due to massive demand), Manipulating Numerical Data with
   NumPy, Image Analysis with Sci-Kit Image, Modern Optimization Methods in
   Python, and more. See tutorial details and the full schedule here
   <http://scipy2015.scipy.org/ehome/115969/289057/?&>.
   6. *Participate in coding sprints:
   <http://scipy2015.scipy.org/ehome/115969/292867/?&>* Over 200 community
   members from core developers to Python newcomers will work together to
   contribute to projects and code during the SciPy sprints. You can make a
   huge contribution and sharpen your skills at the same time.