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The official Jupyter Conference
Aug 21-22, 2018: Training
Aug 22-24, 2018: Tutorials & Conference
New York, NY
Min Ragan-Kelley

Min Ragan-Kelley
Postdoctoral Fellow, Simula Research Laboratory

Website | @minrk

Min Ragan-Kelley is a postdoctoral fellow at Simula Research Lab in Oslo, Norway, where he focuses on developing JupyterHub, Binder, and related technologies and supporting deployments of Jupyter in science and education around the world. Min has been contributing to IPython and Jupyter since 2006 (full-time since 2013).


9:00am–12:30pm Wednesday, August 22, 2018
Carol Willing (Cal Poly San Luis Obispo), Min Ragan-Kelley (Simula Research Laboratory), Erik Sundell (IT-Gymnasiet Uppsala)
Average rating: ****.
(4.50, 2 ratings)
Carol Willing, Min Ragan-Kelley, and Erik Sundell demonstrate how to provide easy access to Jupyter notebooks and JupyterLab without requiring users to install anything on their computers. You'll learn how to configure and deploy a cloud-based JupyterHub using Kubernetes and how to customize and extend it for your needs. Read more.
2:40pm–3:20pm Thursday, August 23, 2018
Location: Sutton Center/Sutton South
Min Ragan-Kelley (Simula Research Laboratory), Carol Willing (Cal Poly San Luis Obispo), Yuvi Panda (Data Science Education Program (UC Berkeley))
JupyterHub is a multiuser server for Jupyter notebooks, focused on supporting deployments in research and education. Min Ragan-Kelley, Carol Willing, and Yuvi Panda discuss recent additions and future plans for the project. Read more.
2:40pm–3:20pm Friday, August 24, 2018
Location: Sutton Center/Sutton South
Afshin Darian (Two Sigma | Project Jupyter), M Pacer (Netflix), Min Ragan-Kelley (Simula Research Laboratory), Matthias Bussonnier (UC Berkeley BIDS)
Average rating: ****.
(4.00, 2 ratings)
Jupyter's straightforward, out-of-the-box experience has been important for its success in widespread adoption. But good defaults only go so far. Join Afshin Darian, M Pacer, Min Ragan-Kelley, and Matthias Bussonnier to go beyond the defaults and make Jupyter your own. Read more.