Fwd: invitation for AstroPy "guest panelist" @ DOE Python Exchange (virtual; Wed May 25 @ 5 PM EST)

[Kelle Cruz]

Is anyone available to have a chat with folks in leadership at the DOE Labs? It would be great for them to hear about our software ecosystem and community. Please get in touch with James directly.

---------- Forwarded message ---------
From: James Powell <ja...@dutc.io>
Date: Mon, May 9, 2022 at 3:48 PM
Subject: invitation for AstroPy "guest panelist" @ DOE Python Exchange (virtual; Wed May 25 @ 5 PM EST)

I'm writing to see if you might be able to connect us with someone from the AstroPy community who would be willing to present at a virtual meetup for scientific Python users that I have been helping to organise.

Wolfgang Kerzendorf (Michigan State, TARDIS) and a group of his post-docs joined us last month and helped lead a fantastic discussion. The video for that event (and all prior events) is available at https://meetup.doepy.org/ Prior speakers include Laurie Stephey & Daniel Margala (NERSC); Ross Barnowski & Stéfan van der Walt (UC Berkeley, NumPy/SciPy); and Aric Hagberg (LANL, NetworkX.)

For the past few months, we've been helping staff leaders at several Department of Energy research sites to launch a monthly virtual meetup for Python users across the DOE Lab System. Our "host panelists" include Tom Caswell (BNL/NSLS-II, Bluesky, matplotlib) and Dan Allan (BNL/NSLS-II, Bluesky)—CC'd—as well as folks from LBNL/SLAC, LLNL, and ANL/APS.

We would love for someone from the AstroPy community to join us for our next event on Wed May 25 at 5 PM EST.

The meetup is hosted over BlueJeans events and typically lasts ~1 hr. We invite a "guest panelist" or group of guest panelists to present some prepared remarks (usu. 20~30 min.) then join our "host panelists" for a group Q&A.

Our goal in hosting these meetings is to support the use of Python across the National Lab system by providing a network for Python users at these sites to learn from one another and share resources and best practices. Our audience is, for the most part, made up of researchers, scientists, engineers and analysts who are finding that possessing a certain amount of programming skill is becoming increasingly important for them as they seek to automate certain aspects of their work or more efficiently analyze large datasets. We hope to help Python and open-source technologies become more widely adopted across the DOE National Lab system in support of these professionals’ work.

Cheers,

James Powell