Courtenay Godshall
2015-06-24 15:24:21 UTC
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.
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.