[SciPy-User] SciPy 2016 Conference (Scientific Computing with Python): Tutorials and Talks Announced

classic Classic list List threaded Threaded
1 message Options
Reply | Threaded
Open this post in threaded view
|  
Report Content as Inappropriate

[SciPy-User] SciPy 2016 Conference (Scientific Computing with Python): Tutorials and Talks Announced

cgodshall

**ANN: SciPy 2016 Conference (Scientific Computing with Python): Tutorials and Talks Announced**

 

We’re excited to announce this year’s accepted Talks & Posters and Tutorial Schedule!  This year’s 3 major talk tracks include Python in Data Science, High Performance Computing, and general Scientific Computing. Our six mini-symposia include: Earth and Space Science, Engineering, Medicine and Biology, Case Studies in Industry, Education, and Reproducibility. For tutorials, you can choose from 18 different SciPy tutorials, including a 1 day Software Carpentry Scientific Python course that assumes some programming experience but no Python knowledge, or a 2-day Software Carpentry Instructor Training.

 

We hope you’ll join us - early bird registration ENDS May 22, 2016. Register at: http://scipy2016.scipy.org/ehome/146062/332936/

 

About SciPy 2016

SciPy 2016, 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 (July 11-12), 3 days of talks (July 13-15), and 2days of developer sprints (July 16-17). More info is available on the conference website at http://scipy2016.scipy.org (where you can sign up for the mailing list); or follow @scipyconf on Twitter.  

 

 


_______________________________________________
SciPy-User mailing list
[hidden email]
https://mail.scipy.org/mailman/listinfo/scipy-user
Loading...