Jupyter Blog - events

Jupyter @ Compute! Paris 2026

2026-10-05T04:00:00+00:00

This is a guest blog post from QuantStack, a founding member of the Jupyter Foundation.

Project Jupyter will have a prominent role at Compute! Paris 2026, a new annual conference for open source computation and data, taking place November 25–26, 2026 at the Sorbonne Université in Paris.

Opening Keynote by Fernando Pérez

Fernando Pérez, co-creator of Jupyter and IPython, will deliver the opening keynote on Wednesday, November 25. His talk, Jupyter, open source and AI: science and humans?, will explore how tools like Jupyter help people think, not just execute, in an era of rapidly evolving AI.

Planet Jupyter Track

Compute! Paris will feature a dedicated Planet Jupyter track on Thursday, November 26, highlighting the latest developments and community efforts in the Jupyter ecosystem. Confirmed talks include:

Reshaping the Jupyter Computing Environment by Jeremy Tuloup (JupyterLab maintainer and JupyterLite creator)
Coordinating security across 350+ Jupyter repositories by Yann Pellegrini
nbplay: making music in notebooks by Tim Paine
The Notebook Is the Backend: Serverless Grading for Jupyter(Lite) by Afshin Darian (JupyterLab co-creator)

Additionally, two Jupyter-related talks will be featured in other tracks:

Using geojupyter community tools for earth data analysis and visualization at scale in the context of Snow Detection, by Guillaume Eynard-Bontemps, Vincent Sarago, and Martin Renou (Jupyter maintainer)
A practical experience report on community management from JupyterHub and Jupyter Book, Serena Bonaretti (JupyterHub and Jupyter Book Community Manager)

Finally, a special Jupyter-focused sprint will be held on the day following the event, graciously hosted by the Sorbonne Cluster for Artificial Intelligence (SCAI).

Full Conference Highlights

Compute! Paris brings together leaders in open source data science, including keynotes from Mackenzie Weygandt Mathis (EPFL), Ines Montani (Explosion.ai), and Wolf Vollprecht (prefix.dev). With 42 talks across three parallel tracks, the event promises deep dives into open source tools, reproducibility, and the future of computation.

Learn more and get tickets: compute.events/paris2026

Mark Your Calendars: Jupyter Day 2026 is Coming to San Jose!

2026-09-04T10:01:00+00:00

Join us on October 19 for a full day of talks, posters, and community discussion on the future of interactive computing. Submit a talk by September 13 or sponsor the event!

Project Jupyter has always grown around its community. From early notebook hacks to large-scale deployments across research labs and universities, what makes this ecosystem work is the people building tools, running infrastructure, and sharing workflows.

That is why we are excited to announce Jupyter Day 2026, happening on Monday, October 19, 2026, at the San Jose Convention Center in California!

This year, we are co-locating with PyTorch Conference North America. If you are already planning to be in town for PyTorch, you can easily add Jupyter Day to your week — or you can simply register to attend Jupyter Day on its own!

What We Are Covering

Jupyter Day is a focused event for developers, maintainers, data scientists, educators, and system admins to talk about real-world setups and future project architecture.

Here are the main tracks and suggested topics for the event:

Data Science: How Jupyter is used by data science practitioners across industry, government, research, and beyond.
Community & Ecosystem: Insights into the Jupyter community, frontends, kernels, custom extensions, and essential ecosystem tools.
Research and Scientific Discovery: Practical applications in specific scientific fields, including medical research, astronomy, physics, climate science, meteorology, social sciences, and the humanities.
Education: Practical methods and strategies for teaching and learning with Jupyter across diverse educational settings.
Jupyter Infrastructure: Deploying Jupyter and JupyterHub at scale across high-performance computing, cloud environments, enterprise, and academia — covering DevOps, scaling, security, and compliance.
AI & Machine Learning: Leveraging AI and machine learning inside Jupyter and using Jupyter environments to drive ML development.

Whether you want to showcase a JupyterLab extension you built, explain a tricky deployment setup, or discuss new open standards, we want to hear from you.

Call for Proposals is Open!

The Call for Proposals (CFP) is live right now. We are looking for technical talks, panel ideas, and poster presentations from every part of the community.

CFP Deadline: Sunday, September 13, 2026 at 11:59 PM PDT
Submit your proposal: Jupyter Day CFP Portal

Put your organization front and center at Jupyter Day 2026! Sponsoring this event connects your brand directly with core developers, researchers, and AI leaders building the future of open-source interactive computing.

View opportunities: Download the Jupyter Day 2026 Sponsorship Prospectus.
Get in touch: Reach out to jupyterevents@linuxfoundation.org to reserve your sponsorship or ask questions.

You can find full event details, hotel info, and registration links directly on the Linux Foundation event page.

We hope to see you in San Jose this October!

Navigating the Post-Workshop Fog: a Path to Myst

2026-07-09T15:15:00+00:00

From June 15th to 17th 2026 a Jupyter Workshop took place at Paris-Saclay University : “Demystifying MyST Markdown in education”. The workshop combined presentations in the mornings with collaborative sprints during the afternoons. It has been funded by the Jupyter Foundation and SaclAI-School.

Milestones

Improving documentation and tools for easier deployment even for non-specialists

Freek Pols from Delft University and Brigitta Sipočz form CalTech presented some examples and challenges in publishing courses and documentation at large scales. Angus Hollands, MyST maintainer, made an in depth presentation of Myst and JupyterBook2. Guided tutorials introduced participants to complete a Jupyter Book workflow. The participants learned how to create their first Jupyter Book, and how to publish it.

Text notebooks as first citizens

Marc Wouts and Yahya Heni discussed the path from jupytext to jupyter-plainb to open and execute plain markdown text notebooks directly in Jupyter Lab. Two Jupyter Enhancement Proposals (JEP) has been discussed together with Jupyter Lab and MyST maintainers:

One step at a time

Over 30 issues and pull requests have been opened in the whole Jupyter ecosystem:

documentation items: for example, about text notebooks in jupyterlite or publishing on different hosting solutions;
feature requests: for example, single document feature in JupyterBook2, non-default application to open files in Jupyter Lab;
adopt JupyterBook2 for software documentation: for instance itables and travo.

Sidewalks

The workshop provided the opportunity to continue previous discussions about AI in education: some participants attended the workshop “AI in Jupyter” and were able to pick up the conversation from there.

Relationships between Academia and Open Source Software communities were also topic of conversation: about Open Source Program Offices (OSPOs) and how their action can be connected to education strategies.

Wandering

Collaboration is a matter of trust. That’s why it is still important for people to meet in person and to know each other. It is about exchanging details, like keys to decrypt characters and aspirations. One might discover a shared passion for shoes. Another may finally enjoy long French-style lunch breaks.

When the time comes to resume the path, important steps have already been taken in the right direction.

A Jupyter Workshop: Demystifying MyST Markdown in Education

2026-04-30T15:05:00+00:00

A new Jupyter Workshop is happening June 15–17, 2026 in Orsay, France. Demystifying MyST Markdown in Education is a three-day workshop organized by the Jupyter community, focused on helping science educators adopt Jupyter Book and the MyST document engine for their teaching materials.

What’s it about?

The workshop aims to remove barriers for educators who want to use Jupyter Book and MyST to publish accessible, reproducible pedagogical content. Here are the broad topics of each day of the event:

Teaching use cases and needs : what educators actually need from tools like Jupyter Book.
Contributor tutorials and onboarding : how to get involved with the project.
MyST Markdown as a text representation for Jupyter notebooks : writing and sharing computational narratives.

Attendees will learn how to contribute to the Jupyter Book community, collaborate with maintainers, and advocate for the needs of their users.

Have a look to the workshop agenda and if you have ideas you would like to be discussed there, please share them in the related issue.

Where and how to join

The workshop is hosted by Laboratoire Interdisciplinaire des Sciences du Numérique (LISN) and supported by SaclAI-School at Université Paris-Saclay.
Travel funding is available, apply here for travel funding.

Registration and full details are on the event page.

Thanks

A huge thank you to the whole Jupyter community supporting the event and to the Jupyter Foundation for making it possible.

Jupyter Security Sprint March 31st

2026-03-20T19:47:00+00:00

This is a critical moment for open source software. AI enables new contributors in new ways, but maintainers are also faced with an unprecedented volume of contributions and security reports. This speed also puts pressure on maintainers and the processes that keep projects secure and reliable.

At the same time, there have been significant recent advances in tooling for:

dependency analysis
vulnerability scanning
supply chain security
automated security checks in CI pipelines

But many open source software projects still struggle to evaluate and integrate these tools into their workflows.

The Security Tooling Sprint

To help address this challenge, the Linux Foundation and the Berkeley Institute for Data Science (BIDS) are hosting the Security Tooling Sprint on March 31st. This sprint will bring together maintainers, security experts, and contributors to explore how security tooling can better support the secure development of Project Jupyter.

Participants will work to understand what tools exist, what problems they solve, and how they can be used in real projects.

What We Will Do

During the sprint, participants will work together to explore the current landscape of security tooling and apply it to real workflows.

Activities will include:

identifying common maintainer pain points
reviewing the modern security tooling ecosystem
experimenting with tools in real project environments
sharing results and ideas with the group

The event focuses on collaboration and hands-on exploration in order to derive actionable recommendations back as issues and pull requests.

Why This Matters for Jupyter

Project Jupyter is used by millions of people in research, education, and industry. Like many open source projects, it relies on a global community of maintainers and contributors volunteering their time, energy, and expertise.

Improving security practices helps protect users while reducing maintainer burden and strengthening trust in the ecosystem.

Join Us

If you are interested in open source security, developer tooling, or the future of the Jupyter ecosystem, we encourage you to participate.

Learn more and register here. We hope you will join us in Berkeley and help improve how to evolve how open source communities approach security.

Jupyter Community Call: February 2026

2026-02-16T13:26:00+00:00

February 2026 Jupyter Community Call

Hey Jovyans, we’d love for you to join us on our next community call! We want to learn all about the great things you’re doing with Jupyter. The Community Building working group is holding an open call with the community, for people to discuss and share their work. Think of it as a “virtual JupyterCon”: It’s a place to announce and share new things happening in the Jupyter ecosystem.

We encourage brief (5 minutes or less) presentations with a demo or screen share, as needed. If you have a GitHub repo or demo web site, please remember to share it.

Anyone can attend, for free! Anyone can present; add yourself to the HackMD agenda. Anyone can sit in on the call. Presenters will lead a demo and may leave time to answer questions. Topics should be targeted to broad and global audience. Keep things simple and remember not every listener will be a software engineer.

Event details:

February 25, 2026, at 9:00 AM PDT (15:00 UTC; your timezone)

Agenda (add yourself!) on HackMD
Meeting channel: https://zoom.us/j/95228013874?pwd=Ep7HIk8t9JP6VToxt1Wj4P7K5PshC0.1
Meeting ID: 95228013874 / Meeting Passcode: 659973
Or connect via phone:
US: +1 253 215 8782 or +1 346 248 7799 or +1 669 900 6833 or +1 301 715 8592
or +1 312 626 6799 or +1 646 374 8656 or 877 369 0926 (Toll Free) or 855 880 1246 (Toll Free)
International numbers: https://zoom.us/u/alwnPIaVT

Watch previous calls in our YouTube playlist.

Jupyter Community Workshops: Early 2026

2025-11-20T13:48:00+00:00

The Jupyter Community Building Working Group is happy to announce the Jupyter Community Workshops selected for funding in early 2026. The dates, venues, participants, and specific agenda for each workshop are being finalized in the near future, so stay tuned for more details.

We applaud all who submitted proposals and each of these selected organizers, who are making a significant commitment to build the Jupyter community. We are very grateful for the generous support of the Jupyter Foundation that makes these workshops possible.

AI in Jupyter: Building Extensible AI Capabilities for Interactive Computing

Zach Sailer (Apple), Jeremy Tuloup (Quantstack), David Qiu (AWS)

This workshop aims to establish consensus around a unified, extensible framework for AI integration across the Jupyter ecosystem by designing shared building blocks, standardized APIs, and protocols that enable seamless integration of AI agents while maintaining the interactive, human-centered experience that defines Jupyter. We will bring together contributors working on AI in notebooks — whether through existing projects, independent extensions, or new ideas — to develop a collaborative roadmap for AI-enabled interactive computing through hands-on demos, collaborative discussions, and focused sprinting sessions.

Roadmap Workshop for JupyterHub and Binder

Arielle Bennett (The Alan Turing Institute), Min Ragan-Kelley (Berkeley Institute for Data Science, UC Berkeley), Raniere Silva (GESIS)

This workshop will be developing and documenting a roadmap for JupyterHub projects. We are inviting maintainers and users to discuss where JupyterHub, repo2docker, and BinderHub should be going and what resources we have to move it forward, and publicly documenting and communicating this plan for improved visibility. The scope will cover a subset of projects across JupyterHub (JupyterHub, Zero to JupyterHub, The Littlest JupyterHub, repo2docker, binderhub, possibly JupyterHealth), depending on which participants we get.

Security Tooling Sprint

Joe Lucas (NVIDIA)

This workshop will survey the open source security tooling ecosystem and find opportunities to integrate select tools to assess and improve the security of Jupyter development and resulting software. These tools may be integrated into existing automation like CI/CD, used for point in time assessments, or potentially during event-driven processes like reviewing vulnerability reports.

Demistify MyST Markdown in Education

Chiara Marmo (Université Paris Saclay — LISN), Nicolas Grenier (Université Paris Saclay — LISN), Kirstie Whitaker (Berkeley Institute for Data Science, UC Berkeley)

The goal of this workshop is to remove barriers for science educators in their adoption of Jupyter Book and the MyST document engine. MyST— part of Jupyter Book, an official sub-project of the Jupyter ecosystem — provides an opportunity to improve the accessibility and replicability of new and existing pedagogical contents. Attendees will leave knowing how they can contribute to the Jupyter Book community, collaborate effectively with maintainers, and advocate for their users’ needs: improving and strengthening the community for all.

Jupyter Community Call: December 2025

2025-11-13T16:18:00+00:00

December 2025 Community Call

Hey Jovyans, we’d love for you to join us on our final community call of the year! We want to learn all about the great things you’re doing with Jupyter. The Community Building working group is holding an open call with the community, for people to discuss and share their work. Think of it as a “virtual JupyterCon”: It’s a place to announce and share new things happening in the Jupyter ecosystem.

We encourage brief (5 minutes or less) presentations with a demo or screen share, as needed. If you have a GitHub repo or demo web site, please remember to share it.

Event details:

December 04, 2025, at 8:00 AM PDT (16:00 UTC; your timezone)

Agenda (add yourself!) on HackMD
Meeting channel: https://zoom.us/j/95228013874?pwd=Ep7HIk8t9JP6VToxt1Wj4P7K5PshC0.1
Meeting ID: 95228013874 / Meeting Passcode: 659973
Or connect via phone:
US: +1 253 215 8782 or +1 346 248 7799 or +1 669 900 6833 or +1 301 715 8592
or +1 312 626 6799 or +1 646 374 8656 or 877 369 0926 (Toll Free) or 855 880 1246 (Toll Free)
International numbers: https://zoom.us/u/alwnPIaVT

Watch previous calls in our YouTube playlist.

Jupyter Community Workshops Are Back!

2025-08-07T20:03:00+00:00

The Jupyter Community Building Working Group is pleased to announce that the next call for proposals for Jupyter Community Workshops is now open through Sunday, September 14 (deadline extension!) for events from October 2025 through February 2026!

We’ve extended the call for proposals to be open through Sunday, September 14.

The majority of Jupyter’s work is accomplished through online collaboration; yet, over the years, we found value in focused in-person workshops. In-person events are particularly useful for high-impact strategic projects, growing the community of contributors, and strengthening collaborations. Jupyter Community Workshops is a series of community-organized events to enable such gatherings.

These workshops are expected to involve up to about two dozen participants over two to four days. Proposals may request a total Jupyter-funded budget of up to $20,000 for reimbursing direct expenses such as travel, lodging, meals, or event space.

In contrast with the broad reach of prior Jupyter Community Workshops, this round of workshops focuses on the Jupyter contributor community. Workshops should include participants who are current or aspiring Jupyter contributors.

The call for proposals for Jupyter Community Workshops is open through Sunday, September 14th, 2025 (deadline extension!)

Learn more about what hosting a Jupyter Workshop entails.

After the submission deadline, proposals will undergo initial review by the Jupyter Community Building Working Group. Accepted proposals will work with the Linux Foundation Events team to develop budget and logistics, followed by a final review.

We are grateful for the support of the Jupyter Foundation and its members that makes our workshops possible. If your organization would like to support this program, please contact the Jupyter Foundation.

Jupyter Community Call: September 2025

2025-07-31T15:11:00+00:00

September 2025 Community Call

Hey Jovyans, we want to learn about the great things you’re doing with Jupyter! The Community Building working group is holding an open call with the community for people to discuss and share their work. Think of it as a “virtual JupyterCon”: It’s a place to announce and share new things happening in the Jupyter ecosystem.

We encourage brief (5 minutes or less) presentations with a demo or screen share, as needed. If you have a GitHub repo or demo web site, please remember to share it.

Event details:

September 04, 2025, at 8:00 AM PDT (15:00 UTC; your timezone)

Agenda (add yourself!) on HackMD
Meeting channel: https://zoom.us/j/95228013874?pwd=Ep7HIk8t9JP6VToxt1Wj4P7K5PshC0.1
Meeting ID: 95228013874 / Meeting Passcode: 659973
Or connect via phone:
US: +1 253 215 8782 or +1 346 248 7799 or +1 669 900 6833 or +1 301 715 8592
or +1 312 626 6799 or +1 646 374 8656 or 877 369 0926 (Toll Free) or 855 880 1246 (Toll Free)
International numbers: https://zoom.us/u/alwnPIaVT

Watch previous calls in our YouTube playlist.

Jupyter Community Call: June 2025

2025-05-22T15:06:00+00:00

June 2025 Community Call

Hey Jovyans, we want to learn about the great things you’re doing with Jupyter! The Diversity, Equity, and Inclusion (DEI) standing committee is holding an open call with the community for people to discuss and share their work. Think of it as a “virtual JupyterCon”: It’s a place to announce and share new things happening in the Jupyter ecosystem.

We encourage brief (5 minutes or less) presentations with a demo or screen share, as needed. If you have a GitHub repo or demo web site, please remember to share it.

Event details:

June 11, 2025, at 9:00 AM PST (17:00 UTC; your timezone)

Agenda (add yourself!) on HackMD
Meeting channel: https://zoom.us/j/95228013874?pwd=Ep7HIk8t9JP6VToxt1Wj4P7K5PshC0.1
Meeting ID: 95228013874 / Meeting Passcode: 659973
Or connect via phone:
US: +1 253 215 8782 or +1 346 248 7799 or +1 669 900 6833 or +1 301 715 8592
or +1 312 626 6799 or +1 646 374 8656 or 877 369 0926 (Toll Free) or 855 880 1246 (Toll Free)
International numbers: https://zoom.us/u/alwnPIaVT

Watch previous calls in our YouTube playlist.

JupyterCon 2025!

2025-03-31T21:24:00+00:00

JupyterCon 2025 will be in San Diego, California, from November 3 to November 6.

We’re excited to host this year’s JupyterCon in sunny San Diego, California, from November 3–6, 2025. From its beginnings as IPython in 2001, Project Jupyter has grown to a global scale platform with millions of *.ipynb files on GitHub (not all of which are named Untitled.ipynb!). The Jupyter ecosystem has transformed data science, scientific research, and education and has shaped the way a generation of developers and scientists develop their workflows.

Quick Links:

About JupyterCon 2025

At JupyterCon 2025, we will bring together data scientists, business analysts, scientists, educators, developers, core Project Jupyter contributors, data visualization specialists, and tool creators in a collegial environment to push at the boundaries of what can be done with the Project Jupyter ecosystem.

The conference begins on Monday, November 3, with technical training tutorials and workshops, followed by two days of keynote talks and breakout sessions, and ending on November 6 with a day of community-led technical sprints. Attendees can expect in-depth training, insightful keynotes, networking, and practical talks that expand our collective knowledge of what the Project Jupyter platform can do. JupyterCon focuses on real-world practices and how to successfully implement interactive computation in your workflow and projects.

We’re seeking proposals for Presentations (Talks), Tutorials, Group Sessions (Workshops, Birds-of-a-Feather, Symposia), and Posters. Topics can include:

Data Science: Proposals that illustrate how Jupyter is used by data science practitioners in industry, government, science, and beyond.
Community: Proposals that demonstrate the Jupyter community, best practices, and tooling. Community practices include how Jupyter is used in a workflow and introspection into the Jupyter community itself, while tooling includes frontends, kernels, extensions, and other tools in the Jupyter ecosystem.
Research and Scientific Discovery: Proposals on how Jupyter is used in specific scientific research fields, such as medical research, astronomy, physics, climate change, meteorology, humanities, social science, and more.
Education: Proposals in this track focus on how to teach and learn using Jupyter in a variety of settings.
Jupyter Infrastructure: Proposals that focus on deploying Jupyter and JupyterHub at scale in industry, government, high-performance computing, science, education, and other settings. Topics include DevOps, scaling services, security concerns, regulation compliance, and more.

Learn more and submit your talk by Sunday, July 13 at 11:59 PM PDT (UTC -7).

Registration

Reserve your pass by 11:59 PM PDT on August 22 for Early Bird.
Standard pricing continues from August 23 to October 3.
Late registration is from October 4 until the first day of JupyterCon.
Student or faculty can register at a discounted academic rate.

Be recognized for your impact on data science, interactive computing, and data visualization by sponsoring JupyterCon 2025. Project Jupyter has been a leader in the open science and interactive computing renaissance, empowering contributions from academia, industry, and government.

As a sponsor, you’ll be investing in a thriving community of open source developers and maintainers committed to innovation. Sponsorships will position your organization at the center of a vibrant, open source ecosystem and enable you to connect directly with hundreds of expert attendees, researchers, engineers, and decision-makers, and actively shape the conversations driving the next era of data science and interactive computing.

For more details on CFP submissions, registration, and sponsorship, visit the JupyterCon Website.

Jupyter Community Call: February 2025

2025-01-30T22:59:00+00:00

Hey Jovyans, we want to see the great things you’re doing with Jupyter! The Diversity, Equity, and Inclusion (DEI) standing committee is holding an open call with the community for people to discuss and share their work. Think of it as a “virtual JupyterCon”: It’s a place to announce and share new things happening in the Jupyter ecosystem.

We encourage brief (5 minutes or less) presentations with a demo or screen share, as needed. If you have a GitHub repo or demo web site, please remember to share it.

Anyone can attend, for free! Anyone can present; add yourself to the agenda below. Anyone can sit in on the call. Presenters will lead a demo and spend a few minutes answering questions. Topics should be targeted at a broad Jupyter audience, not just programmers.

Event details:

February 19, 2025, at 9:00 AM PST (17:00 UTC; your timezone)

Agenda (add yourself) on HackMD
Meeting channel: https://zoom.us/j/95228013874?pwd=Ep7HIk8t9JP6VToxt1Wj4P7K5PshC0.1
Meeting ID: 95228013874 / Meeting Passcode: 659973
Or connect via phone:
US: +1 253 215 8782 or +1 346 248 7799 or +1 669 900 6833 or +1 301 715 8592
or +1 312 626 6799 or +1 646 374 8656 or 877 369 0926 (Toll Free) or 855 880 1246 (Toll Free)
International numbers: https://zoom.us/u/alwnPIaVT

Watch previous calls in our YouTube playlist.

November 2024 Jupyter Community Call

2024-10-21T20:12:00+00:00

Hey, Jupyter community! We want to see the cool things you’re doing with Jupyter, so the Diversity, Equity, and Inclusion (DEI) standing committee is holding an open call with the community for people to share and chat about their work. Think of it as a “virtual JupyterCon”: It’s a place to announce and share fun things happening in the Jupyter community.

We encourage brief (5 minutes or less) presentations with a demo or screen share, as needed. If you have a GitHub repo or demo web site, please share it!

Event details

November 13, 2024, at 9:00 AM PST (17:00 UTC; your timezone)
Agenda (add yourself) on HackMD
Meet on Zoom

Anyone can attend, for free! Anyone can present; add yourself to the agenda above. Anyone can sit in on the call. Presenters will lead a demo and spend a few minutes answering questions. Topics will be targeted at a broad Jupyter audience, not just programmers.

Watch previous calls in our YouTube playlist.

Open Community Call

2023-12-08T19:48:00+00:00

We want to see all the cool things you’re doing with Jupyter, so we’re holding an open call with the community for people to chat, and share their creations and work. Think of it as a “virtual JupyterCon”: It’s a place to announce and share fun things happening in the Jupyter community.

Event Details:

December 13, 2023, at 9:00AM PST (your timezone)

Agenda (add yourself) on HackMD
Meet on Zoom

We meet on Zoom (over video) and:

Anyone can attend (for free!)
Anyone can present (add yourself the agenda above)
Anyone can just sit in on the call.
Presenters will lead a demo and spend a few minutes answering questions
Topics will be targeted at a broad Jupyter audience (not overly technical)

Watch previous calls from this YouTube Playlist.

Desktop GIS software in the cloud with JupyterHub

2023-08-02T16:23:00+00:00

👋 We are Trey Stafford and Matt Fisher, co-authors of the QGreenland data package’s source code. This year, we had the pleasure of running a hands-on geospatial data and open science QGreenland Researcher Workshop. It was important for attendees to participate in the workshop in a hands-on way while minimizing the negative impacts of installing software, requiring expensive personal computers, and troubleshooting unique computer configurations. We felt a JupyterHub was a good fit for our workshop for this reason, if it could accommodate our need for running QGIS — a desktop application.

In this blog post, we will introduce QGreenland, describe our experience using JupyterHub in the cloud for our workshop’s computing environment, and discuss challenges we overcame to enable our attendees to use QGIS in a cloud graphical desktop environment. Finally, we will highlight some workshop outcomes and discuss opportunities for enhancement based on new developments in the Jupyter ecosystem.

In our workshop, 25–30 international learners (including from Germany, India, France, Canada, Poland, and the United States) used QGIS in a JupyterHub’s browser-based Linux desktop environment to collaboratively test, explore, visualize, and process Earth science data simultaneously with the same user experience they expect from using QGIS on their personal computers! Better yet, getting started was as simple as logging in. Our workshop was a success story not just in education, but also in open source and collaborative development, and we want to share what we learned.

Note the browser tabs at the top of this screenshot; this is a full desktop-based GIS environment running QGreenland in the cloud!

The JupyterHub used by the QGreenland 2023 Researcher Workshop was generously provided by the NASA CryoCloud team, whose mission is to help researchers transition to cloud-based collaboration.

About QGreenland

QGreenland is an open-source Greenland-focused geospatial data package for QGIS, a community-owned graphical Geographic Information System (GIS) platform. Researchers and members of the public leverage QGreenland’s ready-to-use interdisciplinary datasets to do field planning, teach about glaciers, and much more.

QGreenland’s MIT-licensed source code uses community-maintained open software like GDAL and PyQGIS to automate data normalization and populate the QGIS project with important information like data provenance and the order of layers in the QGIS Layers Panel. Check out our documentation to learn more! QGreenland also has a YouTube channel with tutorials produced by CIRES Education and Outreach.

Once QGIS is installed, opening QGreenland is as easy as double-clicking the included “.qgs” file. Here, a representative view of QGreenland v3 alpha in QGIS is displayed with newly updated layers: Arctic sea routes (National Geospatial Intelligence Agency), bathymetric depth (General Bathymetric Chart of the Oceans (GEBCO)), and ice thickness (IceBridge BedMachine Greenland v5) layers.

Based on user research, QGreenland has enabled:

the public to more easily access data gathered by researchers visiting Greenland: “In Greenland, people are often asking, ‘how can we find the data the foreign scientists bring back from Greenland?’ Now we can directly utilize much of it.”
researchers to plan field work: “Being able to use QGreenland at our field station was critical to our research process!”
educators to develop interactive lessons about Greenland and climate change: “…using QGreenland for presentations because it is presentation quality already.”

QGreenland’s 2023 researcher workshop

One of the QGreenland team’s most important forms of direct user interaction and support is facilitating workshops. Most recently, we hosted a 3-day (total of 9 hours) virtual workshop for researchers focused on working with geospatial data in an open science framework. All of the materials covered in the workshop were built using open-source tools and are MIT-licensed and published on GitHub.

A “personal computer” in the cloud

We decided early on that we wanted to use JupyterHub to solve the diverse problems that come with “bring your own device” workshops. We experimented with administering our own JupyterHub on Kubernetes, but the setup overhead was too high for our short workshop. CryoCloud’s JupyterHub enabled us to avoid this overhead and focus on serving our participants. Because the software that comprises CryoCloud is open-source and developed in collaboration with the communities CryoCloud serves, we could directly contribute to curating a computing environment ideal for our participants.

JupyterHub is known for providing access to Jupyter Notebooks via JupyterLab, but it turns out it can also be used to host pretty much any interactive web based application! The jupyter-server-proxy project enables this, and there are additional packages that make running specific applications easier. jupyter-rsession-proxy makes it easy to run RStudio inside JupyterHub, jupyter-vscode-proxy allows running code-server (fully open source self-hosted version of Visual Studio Code) inside a JupyterHub, etc. Pertinent to our use case is jupyter-remote-desktop-proxy, which lets you run a complete Linux desktop environment inside your JupyterHub! This was critical for our workshop, as it allowed us to use QGIS — purely desktop software, not adapted for the web — from inside a web browser. Workshop participants did not need to install anything. This enabled participants to focus on the content of our workshop rather than the logistics of setting up and debugging tools on their varied machines.

The CryoCloud JupyterHub enabled each of our workshop participants to provision their own compute environment (JupyterLab + Linux Desktop) with all of our workshop’s dependencies pre-installed. It also set everyone on equitable footing — someone accessing the workshop on a 10 year old laptop would get the same computing resources as someone on a brand new MacBook Pro.

Challenges scaling QGreenland

The CryoCloud JupyterHub already had jupyter-remote-desktop-proxy and QGIS installed, so we could validate this approach to our workshop quickly. However, to use QGreenland at this scale, we needed to solve a couple of usability problems. The first issue was a user experience problem: the operating system did not have appropriate file type associations for QGIS, so files like the QGreenland project file would not open in QGIS when double-clicked in the desktop file browser. We quickly discovered a solution and integrated it with a simple pull request to the Docker image we were using.

The second problem was a performance problem: QGIS would take several minutes to open QGreenland from the hub’s shared storage drive. After some investigation, it turned out this was due to us loading multiple GB of data from an NFS share! While a long term solution might involve getting QGIS to load data directly from cloud object storage (like S3), we instead decided to go a different route — provision each user a small, fast and temporary Elastic Block Store disk. At the start of the workshop, we provided all users a small script that would copy the dataset from NFS to this faster disk once, and this drastically reduced load times from about 5 minutes to under 3 seconds! You can follow our debugging process on this issue, and find the JupyterHub config used to provision these disks here.

By overcoming these challenges, we created a smooth, intuitive, and performant computing experience for all of our participants, most of whom had never been exposed to this sort of collaborative computing environment.

Outcomes

The workshop participants engaged in small group work to complete various exercises, group discussions, and data scenarios. Each group produced Jupyter Notebooks and GitHub Discussions posts as deliverables. We created an outcomes webpage to summarize our participants’ accomplishments. One highlight was participants’ insightful commentary on FAIR & CARE principles.

Based on these outcomes, we consider our workshop a success. While we put in a significant amount of time creating our materials, CryoCloud’s cloud costs and our time investment in preparing computing resources were relatively small. For approximately 25 people, our cloud costs break down to roughly $1/person/day!

Conclusion

The CryoCloud JupyterHub met our workshop needs and provided a delightful experience for administrators and participants alike, and we are excited for what’s next. JupyterLab 4 and jupyter_collaboration v1.0.0, a real-time collaboration extension, were just announced, and the CryoCloud team is currently working to integrate these new releases into their hub. Real-time collaboration will enable exciting cloud use cases, like small groups working together on the same notebook without a screen share, or organizers providing technical support in a live notebook. We anticipate running this workshop again. We are excited to use JupyterHub again and look forward to experimenting with these new features!

Acknowledgements

Reviewers

In alphabetical order, thanks to Twila Moon, Yuvi Panda, Tasha Snow, and Alyse Thurber for their time contributing to this post!

CryoCloud

Snow, Tasha, Millstein, Joanna, Scheick, Jessica, Sauthoff, Wilson, Leong, Wei Ji, Colliander, James, Pérez, Fernando, James Munroe, Felikson, Denis, Sutterley, Tyler, & Siegfried, Matthew. (2023). CryoCloud JupyterBook (2023.01.26). Zenodo.https://doi.org/10.5281/zenodo.7576602

2i2c

2i2c is a non-profit organization that runs open-source infrastructure for collaborative computing, and maintains the CryoCloud JupyterHub used in this workshop. You can see the complete configuration of this JupyterHub in this public repository.

🎉 JupyterCon 2023 recordings now live on YouTube! 🎉

2023-07-22T21:14:00+00:00

Get ready to relive the magic of JupyterCon 2023, because the long-awaited moment is finally here! The JupyterCon YouTube channel has just dropped a treasure trove of content — all the talk and keynote recordings from the most epic conference of the year.

Held at the Cité des Sciences in the city of Paris, from May 10 to 12, JupyterCon 2023 was a celebration of all things Jupyter and beyond.

You can now access all the knowledge-packed sessions online. Don’t miss this opportunity to be inspired by visionaries and experts from different fields who shared their insights on the future of Jupyter.

We extend our heartfelt gratitude to the sponsors, speakers, attendees, and volunteers who contributed to the vibrant atmosphere and made JupyterCon 2023 a memorable experience. Together, we’ve created a platform for knowledge sharing, innovation, and collaboration, empowering data scientists, researchers, educators, and developers worldwide. Thank you for making this conference possible!

On behalf of the JupyterCon 2023 organization committee,

Gayle Ollington — Jupyter Community Events Manager
Sylvain Corlay — JupyterCon 2023 General Chair

Jupyter Notebook format workshop outcomes

2023-04-12T17:40:00+00:00

Workshop Social Event challenging our senses

The Jupyter Community Workshop on the notebook file format took place at the Safran Campus near Paris from February 28th to March 2nd. It was a great opportunity to gather various Jupyter stakeholders from private and public affiliations to bootstrap new features for the Notebook file format.

Jupyter Community Workshops are a series of events designed to bring together small groups of Jupyter community members and core contributors for high-impact strategic work and community engagement on focused topics.

Community discussions

The community has lots of ideas to improve the Notebook format. So we split in three smaller groups with the aim of drafting Jupyter Enhancement Proposal (JEP): the markdown group, the text-format group and the cell types group.

The markdown group focused on backward compatible enhancement for the Markdown cells. The discussions focused on two subjects:

The specification of the Markdown flavor (pre-proposal): the goals are to specify which Markdown flavor (e.g. GitHub, CommonMark, MyST,…) is used for the cell source, how to store rendered output for easier cross-compatibility and what is the default Markdown flavor.
The persistence of user expression (pre-proposal): in order to display inline expressions within Markdown cells, the results obtained from the kernel should be stored in the notebook. This proposal aims to define the schema modification to store such information.

The text-format group lays out a specification for an official Jupyter notebook textual format. The discussion went on after the meeting to prepare that proposal.

Finally the cell-types group took the hypothesis of starting from the blank page to create the best Jupyter notebook format building on top of 10-years of experience. The discussion will take time to settle down on a new specification. So if you are interested, join the weekly discussion (see the meeting notes for all the details). In addition to the fully new specification, two backward compatible enhancements have been proposed:

Adding $schema to the notebook format and deprecate the nbformat version keys (see proposal).
Adding extraSchema to the notebook format to optionally extend the schema to specify in particular metadata (see pre-proposal).

Follow-up

Six JEP’s are foreseen from the workshop discussions. But as mentioned earlier, the community has lots of great other ideas (like SQL cells, low-/no-code cells for inputs or visualization). So we would like to encourage anyone interested by any Jupyter enhancement to open issue on the Jupyter Enhancement Proposals repository (see the guidelines for more information).

With the new Jupyter governance in place, the new Software Steering Council is responsible for ensuring those proposals get reviewed and go through the approval process.

Acknowledgements

I deeply want to thank all participants to the workshop that took the time (some of them despite time zone difference) to bring very constructive and thoughtful discussion.

We are really grateful to Bloomberg and Amazon Web Services for their donations to the Jupyter Community Workshops program. This event would not have been possible without their generous support.

We are also grateful to Safran Group for hosting this workshop and the NumFOCUS foundation for helping and mentoring this workshop organization.

JupyterCon 2023: Early Bird Passes Still Available

2023-02-09T23:43:00+00:00

JupyterCon 2023 is just around the corner, and it promises to be an exciting and action-packed event that you won’t want to miss. With a lineup of world-renowned keynote speakers, including Alyssa Goodman, Paul Romer, Craig Peters, and Cory Gwin, this year’s conference is set to be a true highlight of the Jupyter community.

The three-day conference will be packed with talks, tutorials, and a full schedule of community events. From May 10th to May 12th, attendees will have the chance to hear from some of the brightest minds in the field and engage in discussions with like-minded individuals from around the world.

But that’s not all. The conference will be held at the largest science museum in Europe, providing attendees with a truly unique and immersive experience. And, to add to the excitement, two days of sprints will follow the conference from May 13th to May 14th. This is a fantastic opportunity for attendees to work together on new projects, share their knowledge and skills, and collaborate with other Jupyter enthusiasts.

If you’re thinking of attending JupyterCon 2023, now is the time to act. Early bird passes are still available and provide substantial savings, so make sure to grab your pass before the full price kicks in on March 1st. In addition to individual and corporate passes, there are also economically priced student passes available. Please note, a valid student ID will be required to pick up your student pass at the conference.

https://www.jupytercon.com/tickets

At JupyterCon, diversity is a priority, and NumFOCUS and the JupyterCon team believe that an inclusive community is key to success. To help foster this environment, financial aid and scholarship opportunities are available for those who need it. There are two types of financial aid grants available: a free ticket, which includes access to all scheduled events during the conference, and one for travel and accommodation costs, which will partially cover the costs of getting to and staying at the conference. To apply for these scholarships, visit jupytercon.com and submit your application before the March 3rd deadline.

Stay tuned for the final schedule, which will be released soon, and get ready for a fantastic few days at JupyterCon 2023. With so much happening at this year’s conference, it promises to be an unforgettable experience that you won’t want to miss.

Report on the JupyterLite Community Workshop 💡

2023-01-27T13:06:00+00:00

The JupyterLite Community Workshop, held at the OVHcloud headquarters in Paris, France from December 7th to December 9th, 2022, brought together a group of developers, educators, and data scientists to discuss the latest advancements in the Jupyter and Python in the browser ecosystems.

Jupyter Community Workshops are a series of community-organized events that aim to tackle challenging development and design projects, grow the community of contributors, and strengthen collaborations.

One of the main focuses of the workshop was the JupyterLite project, a Jupyter distribution built from the ground-up using JupyterLab components and extensions, allowing for very scalable deployments. It already powers inline consoles and notebooks on the websites of major projects of the PyData ecosystem, such as NumPy, SymPy, PyMC, and many more.

The workshop also gathered the main developers and contributors of the Pyodide, PyScript and Emscripten-Forge projects that enable using Python in the browser.

Highlights of the week

During the workshop, attendees had the opportunity to participate in group discussions, and split into smaller group to work on specific topics:

Pyodide, Emscripten Forge, PyScript, and more generally Python in the browser. This lead to discussions about making WebAssembly a first-class platform for the Python ecosystem, as per https://discuss.python.org/t/make-wasm-a-1st-class-platform-in-the-python-ecosystem/21798
A proof of concept for using the Language Server Protocol in JupyterLite was also presented, showcasing its potential for improving developer productivity: https://github.com/jupyterlite/jupyterlite-lsp
A presentation about Capytale and Basthon and the use of Python in the browser in the French high school system, deployed for 5000+ schools and with more than 200,000 active users per month.
Integrating JupyterLite and Pyodide in thebe, for producing interactive documents in arbitrary websites.
Another topic of work was about using the latest real-time collaboration (RTC) improvements developed upstream in JupyterLab. Enabling RTC on a static JupyterLite website will make it an even more powerful tool for remote teams and online education.

Resources

You can find the detailed notes and relevant links taken during the workshop:

JupyterLite GitHub discussion: https://github.com/jupyterlite/jupyterlite/discussions/920
Jupyter Discourse topic: https://discourse.jupyter.org/t/jupyterlite-community-workshop-2022-paris-report/17255

Acknowledgments

Overall, the JupyterLite Community Workshop provided a valuable opportunity for the community to come together and share their knowledge, ideas, and experiences.

We are really grateful to Bloomberg and Amazon Web Services for their donations to the Jupyter Community Workshops program. This event would not have been possible without their generous support.

We are also grateful to OVHcloud for hosting this workshop, and for their continued support to the Jupyter project and the NumFOCUS foundation.

Jupyter Blog - events

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JupyterCon 2025!

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Jupyter Community Call: February 2025

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November 2024 Jupyter Community Call

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Event Details:

Desktop GIS software in the cloud with JupyterHub

About QGreenland

QGreenland’s 2023 researcher workshop

A “personal computer” in the cloud

Challenges scaling QGreenland

Outcomes

Conclusion

Acknowledgements

Reviewers

CryoCloud

2i2c

🎉 JupyterCon 2023 recordings now live on YouTube! 🎉

Jupyter Notebook format workshop outcomes

Community discussions

Follow-up

Acknowledgements

JupyterCon 2023: Early Bird Passes Still Available

Report on the JupyterLite Community Workshop 💡

Highlights of the week

Resources

Acknowledgments