Brought to you by NumFOCUS Foundation and O’Reilly Media
The official Jupyter Conference
Aug 21-22, 2018: Training
Aug 22-24, 2018: Tutorials & Conference
New York, NY

Schedule: Community sessions

9:00am–12:30pm Wednesday, August 22, 2018
Location: Gramercy B Level: Beginner
April Clyburne-Sherin (Code Ocean)
Average rating: ***..
(3.00, 2 ratings)
April Clyburne-Sherin walks you through preparing Jupyter notebooks for computationally reproducible publication. You'll learn best practices for publishing notebooks and get hands-on experience preparing your own research for reuse, creating documentation, and submitting your notebook to share. Read more.
9:00am–12:30pm Wednesday, August 22, 2018
Location: Murray Hill B Level: Beginner
Jane Herriman (Julia Computing)
Average rating: *****
(5.00, 2 ratings)
Jane Herriman uses Jupyter notebooks to show you why Julia is special, demonstrate how easy it is to learn, and get you writing your first Julia programs. Read more.
1:50pm–2:30pm Thursday, August 23, 2018
Location: Concourse A: Business Summit Level: Non-technical
Matt Greenwood (Two Sigma Investments)
Average rating: *****
(5.00, 1 rating)
Matt Greenwood explains why Two Sigma, a company in a space notorious for protecting IP, thinks it's important to contribute to the open source community. Matt covers the evolution of Two Sigma's thinking and policies over the past five years and makes a case for why other companies should make a commitment to the open source ecosystem. Read more.
2:40pm–3:20pm Thursday, August 23, 2018
Location: Nassau Level: Non-technical
Viral Shah (Julia Computing), Jane Herriman (Julia Computing), Stefan Karpinski (Julia Computing, Inc.)
Julia and Jupyter share a common evolution path: Julia is the language for modern technical computing, while Jupyter is the development and presentation environment of choice for modern technical computing. Viral Shah and Jane Herriman discuss Julia's journey and the impact of Jupyter on Julia's growth. Read more.
4:10pm–4:50pm Thursday, August 23, 2018
Location: Beekman/Sutton North Level: Non-technical
Carol Willing (Cal Poly San Luis Obispo), Jessica Forde (Jupyter), Erik Sundell (IT-Gymnasiet Uppsala)
Average rating: ****.
(4.50, 2 ratings)
Students learn by doing. Carol Willing, Jessica Forde, and Erik Sundell demonstrate the value of interactive content, using Jupyter notebooks, widgets, and visualization libraries, share notable examples of projects within the Jupyter community, and outline ways educators can help students develop data science literacy and use computational skills to build upon their interests. Read more.
5:00pm–5:40pm Thursday, August 23, 2018
Location: Nassau Level: Beginner
Tim Head (Wild Tree Tech)
Average rating: ****.
(4.33, 3 ratings)
The Binder project drastically lowers the bar to sharing and reusing software. Users wanting to try out someone else’s work need only click a single link to do so. Tim Head offers an overview of the Binder project and explores the concepts and ideas behind it. Tim then showcases examples from the community to show off the power of Binder. Read more.
1:50pm–2:30pm Friday, August 24, 2018
Location: Sutton Center/Sutton South Level: Beginner
Holden Karau (Independent), matthew hunt (Bloomberg)
Many of us believe that gender diversity in open source projects is important. (If you don’t, this isn’t going to convince you.) But what things are correlated with improved gender diversity, and what can we learn from similar historic industries? Holden Karau and Matt Hunt explore the diversity of different projects, examine historic EEOC complaints, and detail parallels and historic solutions. Read more.
4:10pm–4:50pm Friday, August 24, 2018
Location: Beekman/Sutton North Level: Intermediate
Sam Lau (UC Berkeley), Caleb Siu (UC Berkeley)
The nbinteract package converts Jupyter notebooks with widgets into interactive, standalone HTML pages. Its built-in support for function-driven plotting makes authoring interactive pages simpler by allowing users to focus on data, not callbacks. Sam Lau and Caleb Siu offer an overview of nbinteract and walk you through the steps to publish an interactive web page from a Jupyter notebook. Read more.