Conferences / JupyterCon
JupyterCon 2023
May 10–12, 2023 · Cité des Sciences et de l'Industrie, Paris, France
- Conference
- JupyterCon Data science & ML
- Dates
- May 10, 2023 – May 12, 2023
- Venue
- Cité des Sciences et de l'Industrie
- Place
- Paris, France
- Format
- In person
- Status
- Past
- Attendance
- —
- Website
- jupytercon.com
- Recorded
- 32 sponsors · 188 speaker appearances
- Notes
- Organized by Project Jupyter in partnership with NumFOCUS. Main conference 10-12 May 2023, followed by community sprints. Schedule from the pretalx instance at cfp.jupytercon.com (archived JSON export); speakers include talks, tutorials, keynotes, sponsored talks and posters. Affiliations parsed from pretalx speaker bios only (null where the bio does not state one); Cory Gwin's affiliation (GitHub) from the homepage keynote blurb. Recordings on the JupyterCon YouTube channel (not linked per talk in the schedule export). Sponsor names derived from logo image filenames/links on the sponsors page (Gold logos for Instaclustr and Safran both linked to netapp.com). Attendance figure not found.
Ticket prices
| Ticket | Price | Valid until | Notes | Source |
|---|---|---|---|---|
| Student Pass | €75 | — | On sale from 30 January 2023 | web.archive.org |
| Early Bird Individual Pass | €350 | — | Listed on Tito in Jan 2023 | web.archive.org |
| Individual Pass | €400 | — | On sale from 1 March 2023 | web.archive.org |
| Early Bird Corporate Pass | €500 | — | Listed on Tito in Jan 2023 | web.archive.org |
| Corporate Pass | €550 | — | On sale from 1 March 2023 | web.archive.org |
Sponsors 32
Title / headline 2
- Amazon Web Services · Diamond
- Zerve · Diamond
Platinum 9
Gold 12
Community 6
- 2i2c · Community Partners
- Carrefour Numérique (Cité des sciences) · Community Partners
- NumFOCUS · Community Partners
- PyData Paris · Community Partners
- PyLadies Paris · Community Partners
- Systematic Paris-Region · Community Partners
Speakers and talks 188
| Speaker | Company | Role | Talk | Links |
|---|---|---|---|---|
| Alyssa Goodman | Harvard University | Keynote | Alyssa Goodman Keynote | — |
| Cory Gwin | GitHub | Keynote | GitHub Keynote | — |
| Craig Peters | GitHub | Keynote | GitHub Keynote | — |
| Paul Romer | New York University | Keynote | Paul Romer Keynote | — |
| Afshin Darian | QuantStack | Speaker | State of the Union: Jupyter Community | — |
| Alejandro Coca-Castro | The Alan Turing Institute | Speaker | Environmental Data Science Book: A Computational Notebook Community for Open Environmental Science | — |
| Aleksandra Płońska | MLJAR | Poster | Share Jupyter Notebook as a web app with Mercury framework | — |
| Alexander Goscinski | EPFL | Poster | Scicode-widgets: A toolkit to bring computational thinking into the classroom | — |
| Allan Wasega | — | Speaker | Restructuring and Improving JupyterHub Documentation Using the Diátaxis Framework: Experience and Lessons | — |
| Amit Rathi | ReviewNB | Speaker | Building GitHub Code Review Experience for Jupyter Notebooks | — |
| Amit Rathi | ReviewNB | Speaker | Simplify DevOps with Executable Notebooks | — |
| Ana Ruvalcaba | California Polytechnic State University | Speaker | State of the Union: Jupyter Community | — |
| Andrii Ieroshenko | — | Poster | Introducing Jupyter Scheduler: Native support in Jupyter for running and scheduling Jupyter notebooks as jobs | — |
| Anne Fouilloux | — | Speaker | Environmental Data Science Book: A Computational Notebook Community for Open Environmental Science | — |
| Antoine Blanchard | Datactivist | Speaker | How to convince French HSS researchers to use Jupyter Notebooks ? Autopsy of a missed attempt | — |
| Balaji Alwar | UC Berkeley | Poster | Supporting new pedagogical approaches in Education using Jupyter Hubs at Berkeley | — |
| Benoît Bovy | — | Tutorial | Ipytone: Interactive Audio in Jupyter | — |
| Brian Granger | — | Poster | Introducing Jupyter Scheduler: Native support in Jupyter for running and scheduling Jupyter notebooks as jobs | — |
| Carlos Cordoba | — | Speaker | The Spyder debugger: An interactive debugger based on Jupyter technologies | — |
| Carlos Herrero | QuantStack | Speaker | Real Time Collaboration in Jupyter | — |
| Carlos Herrero | QuantStack | Speaker | Visual Programming in JupyterLab with Blockly | — |
| Cécile Hardebolle | EPFL | Speaker | Jupyter notebooks for education: Computational thinking in practice | — |
| Cheuk Ting Ho | Anaconda | Speaker | Driving down the Memray lane - Profiling your data science work | — |
| Christopher Pyles | — | Speaker | Otter-Grader: A Lightweight Solution for Creating and Grading Jupyter Notebook Assignments | — |
| Colin Brown | Northern Illinois University | Speaker | Understanding and Visualizing Dependencies between Notebook Cells | — |
| Damián Avila | — | Speaker | No Magic Added - Deploying Multiple JupyterHubs to Multiple Clouds from one Repository | — |
| Daniel Goldfarb | Bloomberg | Tutorial | Why Won't My Favorite Notebook Extension Work in JupyterLab? | — |
| Daniel Mietchen | — | Speaker | Computational reproducibility of Jupyter notebooks from biomedical publications | — |
| David Beniamine | — | Speaker | Tétras Lab : an open source platform propulsing notebooks as Web applications | — |
| David Brochart | — | Speaker | Jupyter Server—the workhorse that drives nearly all Jupyter web applications | — |
| David Brochart | — | Speaker | Real Time Collaboration in Jupyter | — |
| David Koop | Northern Illinois University | Speaker | Notebook Archaeology: What does an .ipynb file (not) tell us? | — |
| David Qiu | Amazon Web Services | Speaker | Jupyter AI: Bringing Generative AI to Jupyter | — |
| David Qiu | Amazon Web Services | Poster | Introducing Jupyter Scheduler: Native support in Jupyter for running and scheduling Jupyter notebooks as jobs | — |
| David Rouquet | Tétras Libre | Speaker | Tétras Lab : an open source platform propulsing notebooks as Web applications | — |
| David Stirling | Glencoe Software | Poster | Synchronizing the data science workflow with data management at scale | — |
| Denisa Checiu | QuantStack | Speaker | Visual Programming in JupyterLab with Blockly | — |
| Dhavide Aruliah | Quansight | Speaker | 10 Years of Teaching with Jupyter: Reflections from Industry & Academia | — |
| Diego Torres Quintanilla | Two Sigma | Sponsored talk | How JupyterLab 4 is strategic to Two Sigma (and you) | — |
| Diogo Castro | CERN | Speaker | Federated collaborative workflows for Jupyter | — |
| Eduardo Blancas | Ploomber | Speaker | Beyond Papermill: A New Notebook Executor For Running Notebooks in Production | — |
| Edward Comyn-Platt | Copernicus Climate Change Service (C3S) | Speaker | Using Jupyter-notebooks to document and support climate and meteorology data | — |
| Emilien Schultz | Sciences Po médialab | Speaker | How to convince French HSS researchers to use Jupyter Notebooks ? Autopsy of a missed attempt | — |
| Eric Charles | Datalayer | Speaker | The past, present and future of the Jupyter Notebook | — |
| Eric Gentry | — | Speaker | The past, present and future of the Jupyter Notebook | — |
| Erik Sundell | — | Speaker | What's new and exciting in JupyterHub | — |
| Federico Fierli | EUMETSAT | Speaker | Jupyter for Copernicus - improve the use of Earth Observation data | — |
| Fernando Pérez | UC Berkeley | Speaker | Two decades of IPython and Jupyter - strategy, community and technical thoughts for the road ahead. | — |
| Fernando Pérez | UC Berkeley | Speaker | State of the Union: Jupyter Community | — |
| Florian Wetschoreck | Databricks | Speaker | Building on Jupyter at Databricks | — |
| Fons van der Plas | — | Speaker | Pluto.jl – reactive and reproducible notebooks for Julia | — |
| Forrest Bao | — | Speaker | CodePod: Scalable Computational Notebook on a Hierarchical Whiteboard with Scoped Runtime | — |
| Frederic Collonval | — | Speaker | What’s New in JupyterLab 4.0 | — |
| Gabriel Fouasnon | Quansight | Speaker | WAAAT! Accessibility Testing JupyterLab | — |
| Gabriela Vives | QuantStack | Sponsored talk | The UX of computational thinking | — |
| Georgiana Dolocan | 2i2c | Speaker | Reusable JupyterHub Pytest Plugin | — |
| Georgiana Dolocan | 2i2c | Speaker | No Magic Added - Deploying Multiple JupyterHubs to Multiple Clouds from one Repository | — |
| Giuseppe Angelo Porcelli | Amazon Web Services | Sponsored talk | Boost productivity with generative AI and scalable development using Jupyter Notebooks from anywhere | — |
| Greg Michaelson | Zerve | Sponsored talk | AutoML as it should have always been | — |
| Guillaume Lemaitre | — | Tutorial | Predictive survival analysis and competing risk modeling with scikit-learn, scikit-survival, lifelines, Ibis, and DuckDB | — |
| Guillaume Plique | Sciences Po médialab | Speaker | Visual Network Analysis from the comfort of your Jupyter notebook | — |
| Hagsoo Kim | — | Poster | Per-cell Remote Execution on Jupyter | — |
| Hamel Husain | fast.ai | Tutorial | Write, Document, Test and Distribute Python Packages With Jupyter & Quarto | — |
| Hans Fangohr | — | Poster | Reproducible workflows with Jupyter: case study in materials simulation research | — |
| Hendrik Makait | Coiled | Tutorial | Dask and Distributed Computing | — |
| Hooncheol Shin | MakinaRocks | Poster | A Case of Developing a Jupyter Extension: its challenges and our solutions | — |
| Hooncheol Shin | MakinaRocks | Poster | Per-cell Remote Execution on Jupyter | — |
| Hooncheol Shin | MakinaRocks | Sponsored talk | The easiest way to collaborate on Jupyter | — |
| Hwiyeon Cho | — | Poster | Per-cell Remote Execution on Jupyter | — |
| J.J. Allaire | — | Tutorial | Write, Document, Test and Distribute Python Packages With Jupyter & Quarto | — |
| J.J. Allaire | — | Speaker | Jupyter Notebooks + Quarto for customizable and reproducible documents, websites and books | — |
| Jack Fitzsimons | Oblivious | Sponsored talk | Eyes-off data science: a transparently opaque framework for data processing | — |
| Jake Diamond-Reivich | — | Tutorial | How to Bring Spreadsheet Users to Jupyter | — |
| James Colliander | University of Washington | Speaker | Accelerating Discovery for NASA Cryosphere Communities with JupyterHub | — |
| James Stix | University of Washington | Poster | Jupyter for education with Noteable | — |
| James Varndell | European Centre for Medium-Range Weather Forecasts | Speaker | Using Jupyter-notebooks to document and support climate and meteorology data | — |
| Jan-Hendrik Müller | — | Poster | Plywood Gallery - a new framework to generate python documentation via notebooks | — |
| Jason Grout | Databricks | Speaker | Building on Jupyter at Databricks | — |
| Jason Grout | Databricks | Speaker | State of the Union: Jupyter Community | — |
| Jason Weill | Amazon Web Services | Poster | Introducing Jupyter Scheduler: Native support in Jupyter for running and scheduling Jupyter notebooks as jobs | — |
| Jenn kotler | Mikulski Archive for Space Telescopes | Poster | Astronomy Notebooks for All: A Project to Develop More Accessible Jupyter Notebooks | — |
| Jenn kotler | Mikulski Archive for Space Telescopes | Speaker | Notebooks for All: Accessibility & Jupyter Notebooks | — |
| Jeremy Tuloup | QuantStack | Speaker | Creating interactive Jupyter websites with JupyterLite | — |
| Jeremy Tuloup | QuantStack | Speaker | The past, present and future of the Jupyter Notebook | — |
| Jeremy Tuloup | QuantStack | Speaker | Navigating the Jupyter Landscape | — |
| Joe Lucas | NVIDIA | Speaker | Post-exploitation in Jupyter Environments | — |
| Johan Euphrosine | Speaker | Accelerating the Open Source Silicon Ecosystem with Jupyter Notebooks | — | |
| Johan Mabille | QuantStack | Speaker | Xeus kernels in the browser | — |
| Johan Mabille | QuantStack | Speaker | Navigating the Jupyter Landscape | — |
| John M. Shea | University of Washington | Speaker | Tools for Interactive Education Experiences in Jupyter Notebooks and Jupyter Books | — |
| Jongseob Jeon | — | Poster | Accelerate your ML Cycle from Model development to deployment using Jupyter (feat. Extension Link) | — |
| Jongsun Shinn | MakinaRocks | Poster | Accelerate your ML Cycle from Model development to deployment using Jupyter (feat. Extension Link) | — |
| Jose Montero | Uppsala University | Poster | Good Practices, Missed Opportunities and the use of Jupyter notebooks for Inquiry-based Learning | — |
| Jovan Stojanovic | Inria | Speaker | Machine learning with dirty tables: encoding, joining and deduplicating | — |
| Julia Wagemann | — | Speaker | Five guiding principles to make Jupyter Notebooks educational and reusable | — |
| Julia Wagemann | — | Speaker | Jupyter for Copernicus - improve the use of Earth Observation data | — |
| Justin Eldridge | — | Speaker | Otter-Grader: A Lightweight Solution for Creating and Grading Jupyter Notebook Assignments | — |
| LE BECHEC | Université Lyon 1 | Speaker | How to convince French HSS researchers to use Jupyter Notebooks ? Autopsy of a missed attempt | — |
| Lee Quick | Space Telescope Science Institute | Poster | Space Telescope Science Institute Notebook ecosystem | — |
| Lisa Yan | — | Speaker | Otter-Grader: A Lightweight Solution for Creating and Grading Jupyter Notebook Assignments | — |
| Loïc Estève | Inria | Speaker | Leveraging the Jupyter ecosystem to create and run the "Machine Learning in Python with scikit-learn" massive open online course | — |
| Luciano Resende | Apple | Speaker | Elyra an AI development workspace based on Jupyter Notebooks | — |
| Luis Lopez | National Snow and Ice Data Center (NSIDC) | Speaker | ITS_LIVE: Jupyter and cloud native formats to map climate change. | — |
| Maarten Breddels | — | Speaker | IPywidgets: From an experiment in the Notebook to Production-ready data app | — |
| Manon Marchand | Strasbourg Astronomical Data Centre | Poster | Sharing notebooks onto the European Open Science Cloud | — |
| Marc Buffat | Université Lyon 1 | Speaker | Flexible course management and validation system using Jupyterhub with additional services using Flask | — |
| Marcin Sieprawski | Software Mind | Speaker | Federated collaborative workflows for Jupyter | — |
| Marco Gorelli | Quansight | Speaker | nbQA- run any standard Python code quality tool on a Jupyter Notebook | — |
| Maria Teleńczuk | Owkin | Tutorial | Getting Started With Python | — |
| Marianne Corvellec | — | Tutorial | Getting Started With Python | — |
| Marine Gosselin | Taipy | Sponsored talk | Taipy or how to build stunning Python Applications from your Jupyter Notebooks | — |
| Martha Cryan | — | Speaker | What’s New in JupyterLab 4.0 | — |
| Martin Grund | Databricks | Sponsored talk | Use Spark from anywhere: A Spark client in Python powered by Spark Connect | — |
| Martin RENOU | QuantStack | Speaker | And Voilà! | — |
| Mathieu Morey | — | Speaker | How to convince French HSS researchers to use Jupyter Notebooks ? Autopsy of a missed attempt | — |
| Matthew Elliott | University of California, Santa Cruz | Speaker | Jupyter as a Brain-Computer-Interface | — |
| Matthew Rocklin | Coiled | Speaker | Distributed Data Science for Humans with Dask | — |
| Matthew Rocklin | Coiled | Tutorial | Dask and Distributed Computing | — |
| Maxime Liquet | Anaconda | Speaker | Interactive data exploration in a notebook with hvPlot | — |
| Meag Doherty | — | Speaker | Maximizing the Impact of User Feedback: Effective Practices for Community Management | — |
| Merve Noyan | Hugging Face | Sponsored talk | Taking notebooks to production using Hugging Face | — |
| Milana Vuckovic | — | Poster | Bridging the gap between climate data and policy makers: The CLIMAAX project example | — |
| Milana Vuckovic | — | Speaker | Using Jupyter ecosystem for more accessible open weather forecast data | — |
| Min Ragan-Kelley | Simula | Speaker | What's new and exciting in JupyterHub | — |
| Mohammad Wasil | Hochschule Bonn-Rhein-Sieg | Speaker | e2xgrader: An Add-on for Improved Grading and Teaching with Jupyter Notebooks at Scale | — |
| Mohammad Wasil | Hochschule Bonn-Rhein-Sieg | Poster | e2xhub: Simplifying Course Setup and Management in Education with JupyterHub at Scale | — |
| Nate Rush | Mito | Speaker | De-Regid the Widget: Making Jupyter a Haven for Startups | — |
| Nicolas Chauvat | Logilab | Poster | JupyterApps a platform to develop, deploy and share single-page web applications from jupyter notebooks | — |
| Nicolas Poulain | — | Speaker | Capytale: a case of large-scale use of jupyter notebooks in education | — |
| Nicolas RAILLARD | Ifremer | Poster | Notebooks to support the growth of sea-based renewal energy sector | — |
| Olivier Grisel | Inria | Tutorial | Predictive survival analysis and competing risk modeling with scikit-learn, scikit-survival, lifelines, Ibis, and DuckDB | — |
| Omer Dunay | Meta | Speaker | Autoreload in Production at Meta | — |
| Parul Gupta | Meta | Poster | A tale of notebook recovery: session reconnects, execution recoveries and more | — |
| Patrick Jermann | EPFL | Speaker | Jupyter notebooks for education: Computational thinking in practice | — |
| Patrick Smyth | Iota | Poster | Astronomy Notebooks for All: A Project to Develop More Accessible Jupyter Notebooks | — |
| Patrick Smyth | Iota | Speaker | Notebooks for All: Accessibility & Jupyter Notebooks | — |
| Paul Plöger | — | Speaker | e2xgrader: An Add-on for Improved Grading and Teaching with Jupyter Notebooks at Scale | — |
| Pavithra Eswaramoorthy | Quansight | Speaker | Community-first open source: An action plan! | — |
| Philipp Rudiger | Anaconda | Speaker | Rapidly prototyping and deploying powerful data applications in Jupyter using Panel and Lumen | — |
| Pierre-Olivier Vallès | EPFL | Speaker | Jupyter notebooks for education: Computational thinking in practice | — |
| Piotr Płoński | MLJAR | Poster | Share Jupyter Notebook as a web app with Mercury framework | — |
| Piyush Jain | — | Speaker | Jupyter AI: Bringing Generative AI to Jupyter | — |
| Piyush Jain | — | Poster | Introducing Jupyter Scheduler: Native support in Jupyter for running and scheduling Jupyter notebooks as jobs | — |
| Richard Nemeth | Adamatics | Speaker | MLOps made easy and reproducible with Jupyter and containers | — |
| Rick Wagner | UCSD | Tutorial | Security Tutorial/Discussion | — |
| Rosio Reyes | Anaconda | Speaker | The past, present and future of the Jupyter Notebook | — |
| Rowan Cockett | Curvenote | Speaker | MyST Markdown: Using notebooks in scientific publishing workflows | — |
| Sabrina H. Szeto | — | Speaker | Five guiding principles to make Jupyter Notebooks educational and reusable | — |
| Sangwoo Shim | MakinaRocks | Sponsored talk | From Jupyter to MLOps: Jupyter as a key integrator for MLOps | — |
| Sarah Di Loreto Pollet | — | Speaker | Flexible course management and validation system using Jupyterhub with additional services using Flask | — |
| Sarah Gibson | 2i2c | Speaker | How to grow the JupyterHub community and improve its practices by mentoring Outreachy interns | — |
| Sarah Gibson | 2i2c | Speaker | No Magic Added - Deploying Multiple JupyterHubs to Multiple Clouds from one Repository | — |
| Sarah Gibson | 2i2c | Speaker | Restructuring and Improving JupyterHub Documentation Using the Diátaxis Framework: Experience and Lessons | — |
| Sathish kumar Thangaraj | — | Poster | The “Share” button for Jupyter Notebooks - A generic service for publishing and sharing notebook files | — |
| shane knapp | UC Berkeley | Poster | Supporting new pedagogical approaches in Education using Jupyter Hubs at Berkeley | — |
| Sheila Kahwai | — | Speaker | Reusable JupyterHub Pytest Plugin | — |
| Shravan Achar | Apple | Poster | The “Share” button for Jupyter Notebooks - A generic service for publishing and sharing notebook files | — |
| Simon Chabot | Logilab | Poster | Notebooks to support the growth of sea-based renewal energy sector | — |
| Simone Mantovani | — | Speaker | Five guiding principles to make Jupyter Notebooks educational and reusable | — |
| Steen Manniche | Adamatics | Tutorial | Let the right one in: Custom Authentication in JupyterHub | — |
| Stephannie Jimenez Gacha | Quansight | Speaker | Inclusive and accessible scientific computing in the Jupyter Ecosystem | — |
| Stephen Macke | Databricks | Speaker | IPyflow: Supercharging Jupyter with Dataflow-Awareness | — |
| Steve Purves | Curvenote | Speaker | Thebe - add Jupyter-based interactive computing to modern websites | — |
| Subramaniam | — | Speaker | MLOps made easy and reproducible with Jupyter and containers | — |
| Sune Askjaer | Adamatics | Speaker | MLOps made easy and reproducible with Jupyter and containers | — |
| Suraj Rampure | UC San Diego | Speaker | Otter-Grader: A Lightweight Solution for Creating and Grading Jupyter Notebook Assignments | — |
| Tania Allard | Quansight | Speaker | Community-first open source: An action plan! | — |
| Tasha Snow | — | Speaker | Accelerating Discovery for NASA Cryosphere Communities with JupyterHub | — |
| Taylor Baird | CECAM | Speaker | OSSCAR: leveraging interactive Jupyter notebooks to enhance teaching in the scientific domain | — |
| Thijs van der Plas | University of Washington | Poster | Reproducible figures for scientific publication | — |
| Thomas Boyer Chammard | NASA | Speaker | Sending Rovers to Mars with Jupyter | — |
| Thomas DUPRIEZ | Université Lyon 1 | Speaker | Flexible course management and validation system using Jupyterhub with additional services using Flask | — |
| Thorsten Beier | — | Speaker | Xeus kernels in the browser | — |
| Tim Metzler | Hochschule Bonn-Rhein-Sieg | Speaker | e2xgrader: An Add-on for Improved Grading and Teaching with Jupyter Notebooks at Scale | — |
| Tim Metzler | Hochschule Bonn-Rhein-Sieg | Poster | e2xhub: Simplifying Course Setup and Management in Education with JupyterHub at Scale | — |
| Tim Paine | Cubist Systematic Strategies | Tutorial | Visualizing live data pipelines in JupyterLab with ipydagred3 | — |
| Trung Le | QuantStack | Speaker | Real Time Collaboration in Jupyter | — |
| Trung Le | QuantStack | Speaker | And Voilà! | — |
| Tyler Erickson | — | Poster | Addressing global sustainabilty challenges with Jupyter and cloud-based geospatial data platforms | — |
| Vinay Kakade | Abhyasu.com | Speaker | Simplify DevOps with Executable Notebooks | — |
| Vincent Gosselin | — | Sponsored talk | Taipy or how to build stunning Python Applications from your Jupyter Notebooks | — |
| Vincent Maladiere | Inria | Tutorial | Predictive survival analysis and competing risk modeling with scikit-learn, scikit-survival, lifelines, Ibis, and DuckDB | — |
| Wasim Lorgat | — | Tutorial | Write, Document, Test and Distribute Python Packages With Jupyter & Quarto | — |
| Yongjin Shin | — | Sponsored talk | The easiest way to collaborate on Jupyter | — |
| Yuvi Panda | 2i2c | Speaker | No Magic Added - Deploying Multiple JupyterHubs to Multiple Clouds from one Repository | — |
| Yuvi Panda | 2i2c | Speaker | Best practices for building docker images for use with a JupyterHub | — |
| Zach Sailer | Apple | Poster | The “Share” button for Jupyter Notebooks - A generic service for publishing and sharing notebook files | — |
| Zach Sailer | Apple | Speaker | Jupyter Server—the workhorse that drives nearly all Jupyter web applications | — |
Sources
- https://web.archive.org/web/20230506082646/https://www.jupytercon.com/
- https://web.archive.org/web/20230514173449/https://www.jupytercon.com/sponsors
- https://web.archive.org/web/20230112231931/https://ti.to/Jupyter/jupytercon-2023
- https://web.archive.org/web/20231003042730/https://cfp.jupytercon.com/2023/schedule/export/schedule.json
- https://cfp.jupytercon.com/2023/schedule/
- https://blog.jupyter.org/jupytercon-2023-keynotes-c6b5d3d964e5