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The official Jupyter Conference
Aug 21-22, 2018: Training
Aug 22-24, 2018: Tutorials & Conference
New York, NY
Yuvi Panda

Yuvi Panda
Infrastructure Lead, Data Science Education Program (UC Berkeley)

Website | @yuvipanda

Yuvi Panda is infrastructure lead for the Data Science Education Program at UC Berkeley, where he works on scaling JupyterHub for use by thousands of students. A programmer and DevOps engineer, he wants to make it easy for people who don’t traditionally consider themselves programmers to do things with code and builds tools (Quarry, PAWS, etc.) to sidestep the list of historical accidents that constitute the “command-line tax” that people have to pay before doing productive things with computing. He’s a core member of the JupyterHub team and works on as well. Yuvi is also a Wikimedian, since you can check out of Wikimedia, but you can never leave.


11:55am–12:35pm Thursday, August 23, 2018
JupyterHub deployments, Usage and application
Location: Sutton Center/Sutton South Level: Non-technical
Yuvi Panda (Data Science Education Program (UC Berkeley))
Running infrastructure is challenging for an open source community. Yuvi Panda shares lessons drawn from the small community that operates, covering the social and technical processes for keeping reliable in the most open, transparent, and inclusive way possible, using pretty graphs about the state of that anyone can see in real time. Read more.
1:50pm–2:30pm Thursday, August 23, 2018
Ryan Abernathey (Columbia University), Yuvi Panda (Data Science Education Program (UC Berkeley))
Average rating: *****
(5.00, 1 rating)
Climate science is being flooded with petabytes of data, overwhelming traditional modes of data analysis. The Pangeo project is building a platform to take big data climate science into the cloud using SciPy and large-scale interactive computing tools. Join Ryan Abernathey and Yuvi Panda to find out what the Pangeo team is building and why and learn how to use it. 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.