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: Programmatic sessions

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11:05am–11:45am Thursday, August 24, 2017
Location: Beekman/Sutton North
Kyle Kelley (Netflix), Brian Granger (Cal Poly San Luis Obispo)
Average rating: *****
(5.00, 2 ratings)
Kyle Kelley and Brian Granger offer a broad look at Jupyter frontends, describing their common aspects and explaining how their differences help Jupyter reach a broader set of users. They also share ongoing challenges in building these frontends (real-time collaboration, security, rich output, different Markdown formats, etc.) as well as their ongoing work to address these questions. Read more.
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11:55am–12:35pm Thursday, August 24, 2017
Location: Beekman/Sutton North
Brian Granger (Cal Poly San Luis Obispo), Chris Colbert (Project Jupyter), Ian Rose (UC Berkeley)
Average rating: *****
(5.00, 6 ratings)
Brian Granger, Chris Colbert, and Ian Rose offer an overview of JupyterLab, which enables users to work with the core building blocks of the classic Jupyter Notebook in a more flexible and integrated manner. Read more.
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11:05am–11:45am Friday, August 25, 2017
Location: Beekman/Sutton North
Matthias Bussonnier (UC Berkeley BIDS), Paul Ivanov (Bloomberg LP)
Average rating: ****.
(4.00, 1 rating)
Matthias Bussonnier and Paul Ivanov walk you through the current Jupyter architecture and protocol and explain how kernels work (decoupled from but in communication with the environment for input and output, such as a notebook document). Matthias and Paul also offer an overview of a number of kernels developed by the community and show you how you can get started writing a new kernel. Read more.
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4:10pm–4:50pm Friday, August 25, 2017
Location: Beekman/Sutton North Level: Intermediate
M Pacer (Netflix), Jess Hamrick (UC Berkeley), Damián Avila (Anaconda, Inc.)
Average rating: ****.
(4.00, 1 rating)
M Pacer, Jess Hamrick, and Damián Avila explain how the structured nature of the notebook document format, combined with native tools for manipulation and creation, allows the notebook to be used across a wide range of domains and applications. Read more.