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The official Jupyter Conference
August 22-23, 2017: Training
August 23-25, 2017: 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 mybinder.org as well. Yuvi is also a Wikimedian, since you can check out of Wikimedia, but you can never leave.

Sessions

9:00am–12:30pm Wednesday, August 23, 2017
Deploying JupyterHub for students and researchers
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
Managing a 1,000+ student JupyterHub without losing your sanity
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.
5:00pm–5:40pm Friday, August 25, 2017
Democratizing access to open data by providing open computational infrastructure
JupyterHub deployments
 Location: Nassau Level: Non-technical
Yuvi Panda (Data Science Education Program (UC Berkeley))
Average rating: *****
(5.00, 1 rating)
Open data by itself is not enough. You need open computational infrastructures as well. Yuvi Panda offers an overview of a volunteer-led open knowledge movement that makes all of its data available openly and explores the free, open, and public computational infrastructure recently set up for people to play with and build things on its data (using a JupyterHub deployment). Read more.