[Matplotlib-devel] BoF submission to SciPy 2019

Matthias Bussonnier bussonniermatthias at gmail.com
Fri Mar 15 11:52:02 EDT 2019


Hello Matplotlib List,

The SciPy conference would like to encourage you to submit proposals for
Birds of a Feather (BoF) sessions at this year's SciPy! BoFs usually
include short presentations by a panel and a moderator with the bulk of the
time spent opening up the discussion to everyone in attendance, but the
format is flexible. BoF topics can be of general interest, such as
state-of-the-project BoFs, or based on the themes of the conference and the
mini-symposia topics, or can be a great opportunity to collect informations
from members of the SciPy community.

We would like to encourage you to think about topics of interest and submit
your proposals.
Submission will be opened on March 18, 2019 (This Monday) and close on
Friday, May 31st, 2019. You can submit you proposal here:
https://www.scipy2019.scipy.org/bof-sessions.

Past SciPy conferences have had a large variety of BoF sessions, including
topics on Reproducibility, Jupyter Notebooks, Distributed Computing,
Geospatial Packages in Python, Teaching Scientific Computing with Python,
Python and Finance, NumFOCUS, Python in Astronomy, Collaborating and
Contributing in Open Science, Education, and a Matplotlib Enhancement
Proposal Discussion. Generally, if there is a topic where you think a
number of people at SciPy will be interested, you should propose it! Please
share this with anyone else in the community who you think would be a good
candidate for organizing a BoF.

The BoF committee will try to select the BoFs based on a number of
criteria, and/or attempt to merge BoFs submission with a large overlap.

Thanks in advance for your submission, and looking forward to see you at
SciPy 2019, Austin Texas, July 8-14, 2019. Feel free to contact us if you
have any questions, concerns or suggestions.
-- 
Lindsey Heagy and Matthias Bussonnier for the SciPy organizers.
scipybofs at gmail.com
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/matplotlib-devel/attachments/20190315/b6428f64/attachment.html>


More information about the Matplotlib-devel mailing list