Jupyter Community Workshop: Dashboarding with Project Jupyter
We have some exciting news about the Jupyter Community Workshop on dashboarding!
The workshop will be held in Paris, France, from June 3rd to June 6th, 2019. The event is being hosted at Center for Interdisciplinary Research (CRI), in the heart of Paris.
The workshop committee consists of Maarten Breddels (Freelance), Pascal Bugnion (Faculty.ai), Sylvain Corlay (QuantStack), Alexandre Gramfort (INRIA), and Vidar Tonaas Fauske (Simula).
The workshop will last four days, with hands-on discussions, hacking sessions, and technical presentations. The goal of the event is to foster collaboration and the sharing of knowledge between downstream library authors and contributors, and favor upstream contributions.
Should you be interested in joining us for this workshop, please fill this Google Form.
In addition to the Community Workshop, we plan on holding a public Meetup on June 5th, in partnership with the PyData Paris Meetup, with a series of lightning talks of Project Jupyter and related projects.
Why a Workshop on Dashboarding?
The Jupyter ecosystem has great tools for teaching, exploration and development. Dashboards allow users to interact with a kernel with interactive controls, plots, maps, etc., and allow researchers and data scientists to share their results with students, with their peers, and with the general public. Currently, users of Jupyter are (mostly) forced towards other Python or R libraries or they make direct use of front-end technologies or develop directly in JavaScript.
There are existing early technologies that allow serving dashboards based on notebooks, most notably voila. The goal of this workshop is to gather core Jupyter widgets developers, members of the community and users with experience in dashboarding to bring dashboarding to a level where it can be used by all members of the Jupyter ecosystem. Ultimately, we envisage users being able to develop and deploy dashboards entirely within the Jupyter ecosystem.
We will lay the foundations for dashboarding as a first-class citizen in the Jupyter ecosystem.
Acknowledgements
This would not have been possible without the generous support provided by Bloomberg, who made this workshop series possible.
We are also grateful to the CRI for gracefully hosting the dashboarding community workshop.
