SciPy 2018, the 17th annual Scientific Computing with Python conference, 
will be held July 9-15, 2018 in Austin, Texas. The annual SciPyConference 
brings together over 700 participants from industry, academia, and 
government to showcase their latest projects, learn from skilled users and 
developers, and collaborate on code development. The call for abstracts 
for SciPy 2018 for talks, posters and tutorials is now open. The new 
extended deadline for submissions is February 15, 2018.

Conference Website: https://scipy2018.scipy.org

Submission Website: https://easychair.org/conferences/?conf=scipy2018


*July 9-15, 2018 | Austin, Texas *



   - *Tutorials:* July 9-10, 2018 
   - *Conference (Talks and Posters):* July 11-13, 2018 
   - *Sprints: *July 14-15, 2018
   
   
In addition to the general track, this year will have specialized tracks 
focused on:

- Data Visualization

- Reproducibility and Software Sustainability

*Mini Symposia*

·         Astronomy

·         Biology and Bioinformatics

·         Data Science

·         Earth, Ocean and Geo Science

·         Image Processing

·         Language Interoperability

·         Library Science and Digital Humanities

·         Machine Learning

·         Materials Science

·         Political and Social Sciences

There will also be a SciPy Tools Plenary Session each day with 2 to 5 
minute updates on tools and libraries.


*Tutorials (July 9-10, 2018)*

Tutorials should be focused on covering a well-defined topic in a hands-on 
manner. We are looking for awesome techniques or packages, helping new or 
advanced Python programmers develop better or faster scientific 
applications. We encourage submissions to be designed to allow at least 50% 
of the time for hands-on exercises even if this means the subject matter 
needs to be limited. Tutorials will be 4 hours in duration. In your 
tutorial application, you can indicate what prerequisite skills and 
knowledge will be needed for your tutorial, and the approximate expected 
level of knowledge of your students (i.e., beginner, intermediate, 
advanced). Instructors of accepted tutorials will receive a stipend.

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