JupyterCon

JupyterCon
Name	JupyterCon
Status	Active
Genre	Scientific computing conference
First	2016
Organiser	Project Jupyter
Frequency	Annual (varied)
Location	Various

JupyterCon is a recurring conference focused on Project Jupyter, interactive computing, and open-source software for data science and research. The conference attracts contributors from NumPy, Pandas (software), Matplotlib, SciPy, IPython and related ecosystems, alongside representatives from institutions such as Google, Microsoft, Amazon (company), IBM, Facebook, Netflix, NASA, and European Space Agency. Speakers and attendees commonly include members affiliated with Harvard University, Massachusetts Institute of Technology, Stanford University, University of California, Berkeley, University of Cambridge, and Princeton University.

Overview

JupyterCon showcases development on Jupyter Notebook, JupyterLab, nbconvert, nbformat, JupyterHub, Binder (software), and Voila (software), alongside integrations with TensorFlow, PyTorch, scikit-learn, Dask, and XGBoost. The program often features tutorials from contributors associated with Anaconda, Inc., Continuum Analytics, Canonical (company), Red Hat, SUSE, and JetBrains, and demonstrations using platforms such as Kubernetes, Docker, Apache Spark, and Hadoop. Workshops have included use cases from European Organization for Nuclear Research, CERN, Los Alamos National Laboratory, Oak Ridge National Laboratory, and Lawrence Berkeley National Laboratory.

History

The conference was initiated following growth in adoption driven by projects like IPython and libraries used at institutions including Broad Institute, Wellcome Trust Sanger Institute, Cold Spring Harbor Laboratory, and Max Planck Society. Early editions featured talks by contributors connected to figures and organizations such as Fernando Pérez, Brian Granger, Thomas Kluyver, and teams from Berkeley Artificial Intelligence Research, Google Brain, Microsoft Research, and Facebook AI Research. Over time the event intersected with initiatives supported by funders and partners including the Alfred P. Sloan Foundation, National Science Foundation, European Commission, OpenAI, and Mozilla Foundation.

Conference Format and Programming

Typical programming combines keynote addresses, lightning talks, poster sessions, and hands-on tutorials from practitioners at Bloomberg L.P., Goldman Sachs, J.P. Morgan Chase, Stripe, Uber Technologies, and Airbnb. Tracks have covered reproducible research presented by teams from Nature (journal), Science (journal), PLOS, and arXiv, data visualization presented by contributors from Tableau Software, Looker, Altair (software), and Bokeh (library), and education-focused sessions involving Khan Academy, EdX, Coursera, MIT OpenCourseWare, and Carnegie Mellon University. Community-run sprints and development days have been organized in conjunction with projects such as BinderHub, Jupyter Widgets, Jupyter Book, Jupytext, and nteract.

Community and Governance

The governance and community stewardship draw on models used by organizations including NumFOCUS, The Apache Software Foundation, Linux Foundation, Python Software Foundation, Open Stack Foundation, and Electronic Frontier Foundation. Contributor governance often references practices from GitHub, GitLab, and version control workflows advocated by maintainers at Mozilla, Wikimedia Foundation, and Drupal. Advisory and steering input has come from representatives of institutions like University of Toronto, University of Washington, University of Oxford, ETH Zurich, Imperial College London, and California Institute of Technology.

Impact and Notable Developments

JupyterCon has catalyzed integrations with major research infrastructures including projects at European Southern Observatory, National Institutes of Health, Wellcome Trust, and The Francis Crick Institute. Notable developments announced or incubated at the conference include enhancements to JupyterLab and compatibility layers with RStudio, Julia (programming language), MATLAB, SageMath, and Wolfram Research. Industry adoption stories have been presented by teams from Siemens, Schneider Electric, Boeing, Lockheed Martin, BP (British Petroleum), and Shell plc. Educational and reproducibility advances have been highlighted by educators from Princeton University, Yale University, Columbia University, University of Chicago, and Duke University.

Attendance and Locations

Attendance has varied from small developer gatherings to larger multi-hundred or multi-thousand participant events hosted in cities such as New York City, San Francisco, Chicago, Berlin, London, Paris, Amsterdam, Barcelona, Toronto, and Boston. Satellite and virtual events have connected contributors from regional hubs including Bangalore, Beijing, Seoul, Sydney, Melbourne, São Paulo, Mexico City, Johannesburg, and Nairobi. Sponsors and partners have included corporations and institutions like Intel Corporation, NVIDIA, AMD, ARM Holdings, Oracle Corporation, Palantir Technologies, and SAP SE.

Category:Computer conferences