Brought to you by NumFOCUS Foundation and O’Reilly Media Inc.
The official Jupyter Conference
August 22-23, 2017: Training
August 23-25, 2017: Tutorials & Conference
New York, NY

Schedule: Development and community sessions

Building the Jupyter community and beyond, questions about open source software development and the practices of the user community that evolve around Jupyter tools.

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11:55am–12:35pm Thursday, August 24, 2017
Data science made easy in Jupyter notebooks using PixieDust and InsightFactory
Location: Sutton Center/Sutton South Level: Beginner
David Taieb (IBM), Prithwish Chakraborty (IBM Watson Health), Faisal Farooq (IBM Watson Health)
Average rating: *****
(5.00, 1 rating)
David Taieb, Prithwish Chakraborty, and Faisal Farooq offer an overview of PixieDust, a new open source library that speeds data exploration with interactive autovisualizations that make creating charts easy and fun. Read more.
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2:40pm–3:20pm Thursday, August 24, 2017
Jupyter at Netflix
Location: Sutton Center/Sutton South Level: Beginner
Kyle Kelley (Netflix)
Average rating: *****
(5.00, 1 rating)
So, Netflix's data scientists and engineers. . .do they know things? Join Kyle Kelley to find out. Kyle explores how Netflix uses Jupyter and explains how you can learn from Netflix's experience to enable analysts at your organization. Read more.
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1:50pm–2:30pm Friday, August 25, 2017
Empower scientists; save humanity: NumFOCUS—Five years in, five hundred thousand to go
Location: Murray Hill Level: Non-technical
Leah Silen (NumFOCUS), Andy Terrel (NumFOCUS)
Average rating: ****.
(4.00, 1 rating)
What do the discovery of the Higgs boson, the landing of the Philae robot, the analysis of political engagement, and the freedom of human trafficking victims have in common? NumFOCUS projects were there. Join Leah Silen and Andy Terrel to learn how we can empower scientists and save humanity. Read more.
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5:00pm–5:40pm Friday, August 25, 2017
Learning to code isn’t enough: Training as a pathway to improve diversity
Location: Sutton Center/Sutton South Level: Non-technical
Kari Jordan (Data Carpentry)
Average rating: *****
(5.00, 4 ratings)
Diversity can be achieved through sharing information among members of a community. Jupyter prides itself on being a community of dynamic developers, cutting-edge scientists, and everyday users, but is our platform being shared with diverse populations? Kari Jordan explains how training has the potential to improve diversity and drive usage of Jupyter notebooks in broader communities. Read more.