JupyterCon 2020

October 5, 2020

October 17, 2020

8:00 AM To 11:30 PM

Online Only


$0 - $350

Event Description

JupyterCon 2020 | October 5-16

For more information visit the JupyterCon Conference Website

Tutorials | October 5-9

Individual or Academic – $250 | Corporate – $350 | Student – $100

Ticket holders will receive access to 10 tutorials equivalent to half a day of learning (4.5 hours each). Throughout the week of tutorials ticket holders will have access to instructor office hours. Ticket holders will also receive access to continued learning on our new NumFOCUS/Jupyter online educational platform through the remainder of the calendar year. Certificates will be offered upon tutorial completion.

Main Conference Program | October 12-16

Individual or Academic – $150 | Corporate – $200 | Student – $50

Ticket holders will have access to dozens of presentations, live keynotes, and daily live-stream speaker panels with audience Q&A. In addition, ticket holders will have exclusive access to networking opportunities, birds-of-a-feather events, and ongoing attendee discussion boards during presentations.

Revenue from ticket sales will directly support the Jupyter community and the ongoing research and development of open-source scientific data tools through donations to Project Jupyter and NumFOCUS. Find out more information about Project Jupyter at https://jupyter.org/index.html and NumFOCUS at http://www.numfocus.org/

*Individual or Academic Tickets: If you are paying for yourself or if your academic institution is paying for you to attend JupyterCon, you should register at the individual or academic rate.

*Corporate Tickets: If your company or government agency is paying for you to attend JupyterCon, you should register at the corporate rate.

*Student Tickets: Restricted for students


Interested in Sponsoring? Email us at jupytercon-sponsor@numfocus.org to receive a prospectus.


How can I contact the organizer with questions?

You can reach us by email: events@numfocus.org.


Project Jupyter


About the Organizers

Project Jupyter is a community that develops open source software, standardizes protocols for interactive computing across dozens of programming languages, and defines open formats for communicating results with others. These formats, protocols, and tools support reproducible and collaborative scientific computing and data science for millions of users across a wide range of programming languages (Python, Julia, R, etc.) in a variety of frontends. One of the most popular frontends is the Jupyter Notebook (https://jupyter.org/try), a web-based, interactive computing platform that allows users to perform data cleaning, data analysis, statistical modelling, numerical simulation and data visualization.

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