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The official Jupyter Conference
August 22-23, 2017: Training
August 23-25, 2017: Tutorials & Conference
New York, NY
Ryan Lovett

Ryan Lovett
Systems Manager, Department of Statistics, UC Berkeley


Ryan Lovett manages research and instructional computing for the Department of Statistics at UC Berkeley and is a member of the Data Science Education Program’s infrastructure team. He is most often a sysadmin, though he also enjoys programming and consulting with faculty and students.


9:00am–12:30pm Wednesday, August 23, 2017
JupyterHub deployments
Location: Concourse E Level: Intermediate
Min Ragan-Kelley (Simula Research Laboratory), Carol Willing (Cal Poly San Luis Obispo), Yuvi Panda (Data Science Education Program (UC Berkeley)), Ryan Lovett (Department of Statistics, UC Berkeley)
Average rating: **...
(2.00, 1 rating)
JupyterHub, a multiuser server for Jupyter notebooks, enables you to offer a notebook server to everyone in a group—which is particularly useful when teaching a course, as students no longer need to install software on their laptops. Min Ragan-Kelley, Carol Willing, Yuvi Panda, and Ryan Lovett get you started deploying and customizing JupyterHub for your needs. Read more.
1:50pm–2:30pm Thursday, August 24, 2017
JupyterHub deployments
Location: Nassau Level: Intermediate
Ryan Lovett (Department of Statistics, UC Berkeley), Yuvi Panda (Data Science Education Program (UC Berkeley))
Average rating: *****
(5.00, 1 rating)
The UC Berkeley Data Science Education program uses Jupyter notebooks on a JupyterHub. Ryan Lovett and Yuvi Panda outline the DevOps principles that keep the largest reported educational hub (with 1,000+ users) stable and performant while enabling all the features instructors and students require. Read more.