Jupyter Blog - JupyterCon

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.

🎉 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

JupyterCon 2023 is just around the corner, and it promises to be an exciting and action-packed…

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.

JupyterCon 2023 keynotes

2023-01-18T20:39:00+00:00

Alyssa Goodman, Paul Romer, Cory Gwin, Craig Peters

We are excited to announce the keynote speakers for JupyterCon 2023!

First up, we have Alyssa Goodman from Harvard University. Alyssa is a professor of astronomy at Harvard University, and was the founding director of the Harvard Initiative in Innovative Computing. She will be sharing her insights on how Jupyter, together with the glue project, opens up new opportunities for exploratory data exploration and visualization in the field of astronomy and beyond.

Next, we have Paul Romer from NYU. Paul is a Nobel laureate economist and former Chief Economist of the World Bank. He will describe the potential for Jupyter to revolutionize not just how scholars do their research but also how they communicate their results.

Finally, we have a joint talk from Craig Peters and Cory Gwin from GitHub. They will be discussing the development and capabilities of GitHub Codespaces, and how Jupyter is integrated into this powerful tool for code collaboration and development.

We are thrilled to have such an inspiring group of keynote speakers sharing their expertise at JupyterCon 2023. JupyterCon will be held at the Cité des Sciences in Paris on May 10–12, 2023.

Don’t miss out on this opportunity to hear from these inspiring speakers and get your tickets now at https://www.jupytercon.com/. We look forward to seeing you all there!

— Sylvain Corlay, JupyterCon 2023 General Chair

JupyterCon is back in 2023

2022-10-17T15:15:00+00:00

We are thrilled to announce the next location and date for next year’s global conference on Jupyter.

JupyterCon 2023 will be held May 10–12 (Thursday to Friday) in the city of light, Paris, France at the largest science museum in Europe, the Cité des Sciences et de l’Industrie.

The call for proposals will open soon. In the meantime, we invite you to sign up for announcements and news around the conference at jupytercon.com or follow @JupyterCon on Twitter.

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

What is JupyterCon?

Major open-source projects such as Project Jupyter are fueled by the labor of many people, coordinating their work in a distributed fashion. Even though we spend most of our time interacting through digital mediums, we recognize the value of in-person events, for bringing our community of users and developers together.

JupyterCon celebrates the distributed nature of our community, face-to-face by enhancing year-long remote collaborations with in-person interactions in the span of just a few days. This helps to sustain our community by building and strengthening relationships among Jupyter aficionados and developers, newbies and veterans alike.

The JupyterCon program — with tutorials, talks, social events, and more — will be full of opportunities for participants to share knowledge with each other and to gain professional skills.

Save the date and look out for upcoming announcements!

Benjamin Ragan-Kelley

2020-10-03T21:02:00+00:00

JupyterCon 2020 keynote speaker announcement

Benjamin Ragan Kelley

It all started in April 2005 when freshman Min RK reached out to his physics professor, Brian Granger,

Dr. Granger,
Talking to you this afternoon prompted me to put the rather vague idea I had into a less vague writing, so I thought I would send you a better explanation of the application I had in mind…

laying out his vision for an interactive development environment for computational physics. Reading this today, we can see how prescient that vision was, and included key elements of what Jupyter has become.

Min then joined Brian and Fernando in contributing to IPython and became one of the main driving forces behind a project that has grown to global prominence, with a lasting influence on the entire field of scientific computing.

Some of Min’s early experiments for a web-based notebook.

The rest is history, Min has spent the following fifteen years contributing to IPython and Jupyter. We owe him some of the key components of the project such as JupyterHub. He was honored along with the rest of the Jupyter steering council with the 2017 ACM Software System Award.

Today, Min is a senior research engineer and the head of the Department of Numerical Analysis and Scientific Computing at the Simula Research Laboratory in Oslo, Norway.

Beyond Jupyter, he has contributed widely to open source software, especially in the scientific Python community. He helps maintain numerous scientific packages in the conda-forge package management system.

It is an honor for me to introduce Min’s keynote! We hope you will join us at the conference and enjoy his talk. There are only a few days left and it is still time to sign up.

— Sylvain Corlay, JupyterCon 2020 Vice Chair

The JupyterCon schedule of tutorials and talks is published. Join us!

Omoju Miller

2020-09-29T13:44:00+00:00

JupyterCon 2020 keynote speaker announcement

Omoju Miller

Omoju Miller is Technical Advisor to the CEO at GitHub, where she was previously a Senior Machine Learning Engineer. She has a PhD in computer science education from UC Berkeley and an MSc degree in Intelligent Systems from University of Memphis. While a PhD candidate, Omoju worked at Google, co-leading the non-profit computer science education portfolio and helping launch several initiatives, including Made with Code, a program aimed at increasing the participation of girls in computing. She was also member of a team that won a White House hackathon on data and education, the Education Datapalooza, and later had the opportunity to advise the Presidential Innovation Fellows initiative on aspects of diversity and inclusion.

In her first post at GitHub, she worked on building recommendation engines targeting developers’ engagement in open source projects. With a long-time interest in cognitive science and computational thinking, the allure of working with a data set of millions of interacting programmers drew her to GitHub. In her new role, she is no longer narrowly focused on machine learning and data products. Instead, she has a view encircling the end-to-end experience of users on a platform that serves over 40 million users and provides critical infrastructure.

As part of her doctoral work, Omoju developed HipHopathy, a learning module in data science and natural language processing using rap lyrics. She wanted to give cultural relevance to introductory computing for young learners and show them how data science and programming could be used to explore the rich content in this artistic form. The module was included as part of the on edX MOOC, The Beauty and Joy of Computing, which launched in 2015 with over 20,000 learners. In her dissertation, she investigated how this learning module impacted student retention or attrition, particularly affecting historically under-represented students. Her work has deep implications for the design of inclusive computational science courses.

Signing Omoju Miller’s dissertation @home - HipHopathy, A Socio-Curricular Study of Introductory Computer Science

— Alice M. Agogino (@agogino), December 29, 2015

“Computation is a broad thing, and it has enough room to accommodate every single person. […] Computation applied to any field enhances that field and takes that field to the next level,” declared Omoju in her TEDx San Francisco talk entitled: “The myth of innate ability in tech.” She invites us all to be part of the new revolution, changing the world around us with AI and data science. And she quashes the myth of innate ability saying that it’s something invented to make the privileged feel better and as a way to justify the lack of representation of certain groups in the field. Her story of growth in the tech world is proof, from her early years in Nigeria, then coming to Memphis, Tennessee as a teenager and enrolling in an accounting degree, only to be gripped by fascination with the internet. After switching her major to computer science, she took a class on Expert Systems, and the rest is history. She tells the story in her blog post, #20YearsACoder.

I met Omoju while on my sabbatical stay at UC Berkeley — introduced by her advisor, Prof. Alice Agogino — and we had a memorable long lunch filled with conversation. We shared our common interest in computational thinking and widespread educational achievements via computing in context. I have since then witnessed her meteoric rise in the world of technology, and cannot wait to see how far she will continue to fly. With her humble attitude and profound thinking, I’m sure the JupyterCon community is in for a treat with her keynote.

Blowing each other’s minds in conversation with @omojumiller

— Lorena Barba @labarba@fosstodon.org (@LorenaABarba), May 25, 2016

Announcing keynote speakers and researching about them to write these features has been one of the joys of my role as the General Chair. I hope you enjoy reading about these wonderful people who will gift us with their time and thoughts!

Other keynote speakers at JupyterCon2020:

— Lorena A Barba, JupyterCon 2020 General Chair

The JupyterCon schedule of tutorials and talks is published. Join us!

Lucy D’Agostino McGowan

2020-08-16T20:15:00+00:00

JupyterCon 2020 keynote speaker announcement

Lucy D’Agostino McGowan demonstrating her DIY light board

Lucy is an assistant professor of statistics at Wake Forest University in North Carolina. She previously was a postdoctoral fellow at the Johns Hopkins Bloomberg School of Public Health, where she worked with Prof. Jeffrey Leek. Before starting her PhD in biostatistics at Vanderbilt University, Lucy worked as a statistical data analyst at the Washington University School of Medicine.

A co-founder of R-Ladies Nashville, creator of online courses, and developer of several R packages, Lucy is an avid organizer, communicator and member of the R community. In her blog, she writes about statistics in medicine, using and teaching R, and her experience as an early career academic. She co-hosts the Casual Inference podcast with Ellie Murray from Boston University, where they talk about statistics, data science and epidemiology.

Lucy and her colleagues at Wake Forest are embracing the challenge of teaching during a pandemic, showing both creativity and collegiality with peer-to-peer communities for learning how to teach online. In the photo above you see her with her self-made light board for preparing class videos. She teaches statistical modeling and statistical learning, and I can’t wait to watch her videos — I see a rising star in the open education sphere.

She does research in causal inference, observational study methods, and applications of statistics in medicine. In one recent study she collaborated on, the team looked at the risk of opioid therapy for veterans with rheumatoid arthritis and mental health concerns. Another looks at the effectiveness of dressings with collagen on wounds that resist healing. The common thread is applying a deep understanding of statistics to hard problems in health care. It seems today more than ever we need researchers with this focus. To Lucy, “medicine is a data science.”

In her latest project, the team developed a mathematical model to analyze the impact of test-trace-isolate programs on the dynamics of infectious transmission. She then built an application based on this model, ConTESSA (Contact Tracing Evaluation and Strategic Support Application), to support managers of contact-tracing programs. Lucy and her collaborators also created a MOOC to teach about the indicators of performance of a contact-tracing program, how to use the ConTESSA tool to estimate the effect of these indicators on transmission, and how to strategize to increase the impact of the overall program. The MOOC is free on Coursera, and starts today.

In these troubled times of weaponized misinformation, and a global health crisis on a polarized and deeply unequal societal backdrop, the world needs charismatic science communicators like Lucy. Her system for effective statistical communication, shared in her recent talkat the Joint Statistical Meeting (JSM), should be in every student’s curriculum. She teaches us all to be mindful of the audience, adapt our content, and convey data-powered messages so they are both interesting and true.

A tweet by @lucystats, no longer available

I am delighted to shine a spotlight on such a multitalented young educator and researcher, and to introduce her to the Jupyter community. I also can’t wait to learn from her in what no doubt will be an illuminating keynote. She joins the growing list of awesome speakers we’re lining up for JupyterCon 2020:

Stay tuned for our upcoming announcements!

— Lorena A Barba, JupyterCon 2020 General Chair

Talk and tutorial selections are complete, and authors are being notified. Get ready for the program!

Juan Klopper

2020-08-03T16:01:00+00:00

JupyterCon 2020 keynote speaker announcement

Juan Klopper and Lorena Barba in Delft, Holland, for the Global Open Education Conference, April 2018.

Juan Klopper is a medical doctor and surgeon at Groote Schuur Hospital, the academic hospital complex of the University of Cape Town, South Africa, and a senior lecturer in surgery. His specialty is emergency surgery, and he heads the hospital’s Acute Care Surgery unit. He is also the Head of Post-Graduate Surgical Research, the Head of Surgical Education, and the Faculty of Health Science representative on the University Senate Committee for Online Education.

An ardent open educator, Juan was recognized with the 2014 Educator Award of the Open Education Consortium, a global network for open education. His first collections of educational videos on YouTube focused on biomathematics, and acute care surgery, but he also created loads of teaching videos on physics and mathematics. At the time, he recorded a course on medical statistics using Excel, but he also ventured into a short set of Python lectures, and then a full-fledged course on Medical Statistics using IPython notebooks. He has since then developed courses on the Julia language, on R for medical statistics, and on Understanding Clinical Research using Google Colab — the latter also a Coursera MOOC that has enrolled more than 85,000 learners. Juan was the first educator from the African Continent to have a course on the Coursera platform.

Juan’s research focus is on improvements of healthcare through data science and mathematics. The unique blend of his decade-long career as an attending surgeon and years as an autodidact of mathematics and programming brings forth inventive projects applying technology to medicine. One uses convolutional neural networks to diagnose hemopneumothorax (air and blood in the chest cavity) in victims with gunshot or stab wounds. Another is looking into the diagnostic accuracy of magnetic resonance imaging for tuberculosis spondylitis in HIV-positive and HIV-negative patients. The surgical research unit that he heads at University of Cape Town has supported more than a hundred master’s and doctoral research projects.

In the resource-constrained environment of South Africa, such research efforts rely heavily on open source software tools. For both teaching and research, open source tools remove barriers to technology in the developing world. A number of initiatives involving and advocating open source software in Sub-Saharan Africa attest to the significant impact it can have in capacity building, public policy implementation, and economic growth.

Juan — not content with saving lives applying his surgical talents — has devoted himself to the open dissemination of knowledge. His motto is “Never stop learning,” and he shares his learning journeys openhandedly with his students and everyone else. I can’t wait to hear what he will share with the JupyterCon community.

Just like our previously announced JupyterCon keynotes — Anima Anandkumar and Jeremy Howard — this is an exciting chance to imagine how far our community can go impacting the world for the better. Oh, the anticipation!

— Lorena A Barba, JupyterCon 2020 General Chair

Proposals for tutorials, talks and posters are being selected this week!

Jeremy Howard

2020-07-21T17:36:00+00:00

JupyterCon 2020 keynote speaker announcement

Jeremy Howard

Jeremy Howard is co-founder of fast.ai, and researcher in residence on medical data science at the University of San Francisco. He is Chief Scientist at platform.ai, and held this role previously at doc.ai and Kaggle, where he was also President. Jeremy is a serial entrepreneur, having founded several successful companies after starting his career in management consulting. His most recent, Enlitic, was the first medical deep learning company, which just one year after its founding in 2014 had raised $15 million in two rounds of funding. He left the company two years after.

An open educator, Jeremy co-authored free courses on deep learning that have reached hundreds of thousands of learners around the world. He also co-authors an open-source library for deep learning called fastai, first released in 2018. The library sits atop PyTorch to provide a consistent interface for deep learning applications to images, text, time series, data frames and more. The second version of the library was announced in February this year with an arXiv preprint. All this work has recently come together as a book, written openly on Jupyter notebooks. Over the span of just a few years, he and fast.ai co-founder Rachel Thomas have done more to expand the reach and understanding of deep-learning technology than many global technology corporations.

Last March, as the COVID-19 pandemic was spreading around the world, Jeremy co-founded the #Masks4All campaign. It challenged the global consensus advice at the time on wearing face coverings to protect each other from infection. The campaign is estimated to have reached more than a billion people on social media, and was covered by global news outlets. “This has completely taken over my life,”said Jeremy in an April 1st interview. His June-19 epic tweet-thread reviewing the scientific evidence in support of mask-wearing is a paragon in science communication.

Jeremy has contributed to open source software throughout his career. He both contributed to and helped steer the Perl programming language through authoring requests-for-comments and chairing the Perl6-data working group. Among his latest projects is nbdev, a tool for developing Python libraries using Jupyter as the writing environment for both code and documentation. It empowers users to create hyperlinked documentation, Python modules, tests, and pip-installers, all from Jupyter notebooks, realizing the ideal of Knuth’s literate programming. And expanding the potential of Jupyter as a writing environment for blogging, fastpages facilitates creating Jekyll blog posts on GitHub pages from content source in Jupyter notebooks. The posts can include interactive data visualizations, embed YouTube videos or Twitter cards, and show code snippets in collapsible blocks. Both these projects delight Jupyter enthusiasts with heaps of creative possibilities!

Even if a journalist writing about the impact of #Masks4all dubbed Jeremy a “little-known data scientist,” counting by GitHub stars and Twitter followers, he is really a data-science luminary. You all know him by now, and will be eager to hear him speak to our community in his JupyterCon keynote.

Like our first announced keynote speaker, Anima Anandkumar, Jeremy shines the light of his creative expression in diverse spheres of life and profession. We are thrilled and grateful to them both for allowing JupyterCon to host them!

— Lorena A Barba, JupyterCon 2020 General Chair

Call for tutorials, talks, and posters extended until July 22nd!

Anima Anandkumar

2020-07-13T20:39:00+00:00

JupyterCon 2020 keynote speaker announcement

Anima Anandkumar

Anima Anandkumar is Bren Professor of Computing and Mathematical Sciences at Caltech, and the Director of Machine Learning at NVIDIA. She was the youngest named chair professor at Caltech, has received many awards in a short time span, and has been featured in documentaries and media outlets like PBS, Wired, Forbes, MIT Tech Review and others.

Beyond her star power, Anima is a relentlessly outspoken and influential woman of the times. She has been public about her #MeToo experience at a previous place of work, and she spearheaded the #ProtestNIPS campaign to re-brand the Neural Information Processing Systems conference (now known as NeurIPS). The latter earned her a recognition in the 2018 Good Tech Awards of The New York Times.

She also advocates for responsible use of artificial intelligence, taking a stand specifically against face recognition services sold to law enforcement. This technology is currently still sufficiently inaccurate to be unsafe for use in high-consequence applications, and the product that Amazon made available in 2018, in particular, had high error rates when classifying the gender of dark-skinned women. In an open letter to Amazon, more than two dozen scientists (including Anima) refuted the claims Amazon was making on the scientific evaluation of the technology. Now, the letter has many more signatures, and the Association for Computing Machinery has called for a moratorium on the use of face recognition in high-risk settings.

Anima has a zeal for expanding the reach and understanding of AI in society. With Yisong Yue, she founded in 2018 the AI4science initiative at Caltech, which connects experts in data science and AI with researches across disciplines of science and engineering. She conveys that zeal to the boards of non-profits like #GoBeyondResumes, helping tech with skills-based recruitment, and Behind her Eyes, using virtual reality to combat bias and discrimination.

Nothing less than a trailblazer, her most celebrated contribution to machine learning was devising ways to use tensor algorithms in building statistical models, and having the insight that tensors are the natural mathematical representation for multi-modal data. Nowadays, tensors are everywhere in AI, but in 2014, when she published her most-cited paper on tensor decompositions, they were still obscure. Deep learning was just taking off then!

She collaborated with Jean Kossaifi and others on the release of TensorLy, which provides software support for tensor operations in Python. Its flexible backend allows using NumPy, MXNet, PyTorch, TensorFlow or CuPy to execute the computations efficiently on various hardware platforms, and to use tensor methods in combination with deep learning.

With a prolific and impactful career in academia, in parallel to high-profile positions in industry, one wonders how it is possible for Anima to also be a science communicator and activist for both responsible AI and diversity and inclusion in tech. But she is all these things, and with utmost grace.

Inviting keynote speakers for JupyterCon is both a nerve-racking and gleeful duty for the organizers. Our aspiration is to experience together an unforgettable moment of intellectual joy and inspiration. And that, dear reader, is a guarantee with our first advertised speaker: Professor Anima Anandkumar.

— Lorena A Barba, JupyterCon 2020 General Chair

Call for tutorials, talks, and posters open until July 20!

JupyterCon Online: more than a conference

2020-06-29T19:25:00+00:00

With glee, on February 7, we announced the return of the Jupyter community conference as a global event to be held in Berlin, Germany, in August. In a burst of enthusiasm, 174 people signed up to review for the technical program (you still can!).

Barely a month later (March 11), the World Health Organization declared COVID-19 a pandemic, tech companies had already made the call to cancel all travel, then Europe became the epicenter of the pandemic.

As we began working on contingency plans and negotiating with the contracted venue, we silently published the JupyterCon website, and the Twitter account fell silent. Now we’re ready to make public our plans for JupyterCon Online to be held October 5–17, replacing the in-person conference this year.

This is our vision for the conference of the future.

The key question is: in the absence of physical presence to celebrate our community, meet new people, and network for professional opportunities, what could be the incentives for attendees, speakers, sponsors, and volunteers to be part of the conference? A sharp focus emerged on career advancement and learning as the motivations.

We developed a vision in which a “conference” is now a learning platform, unconstrained by synchronous schedules or geographical location, coalescing a multitude of mini-events and rad new content, learning experiences, and online social interactions.

The project we developed comprises:

an online learning platform to create courses and organize content, providing user profiles to track learning and earn micro-credentials,
integrations with third-party tools for web conferencing and text-based threaded discussion,
online labs with access to JupyterHub/Binder attached to the content,
beyond just “talks,” content organized as mini-courses with permanent resources attached and ensuing conversation.

The conference of the future convergences with online learning and credentialing.

Conference Program

The technical program for JupyterCon Online will be selected by a team of topic track chairs, informed by volunteer reviewers, from submissions to the NOW OPEN Call for Proposals. Much of the program will be on-demand, but a few important pieces are planned to be live:

Tutorials: consist of prepared written materials and exercises in Jupyter notebooks, pre-recorded video by the instructor, live office hours with participants each day, and text-based discussion. The conference team will create a MOOC-style mini-course from the author-prepared materials. Participants completing the tutorials will receive certificates.
Keynotes: streamed live to YouTube each day, with private backchannel discussions in the JupyterCon Mattermost server, public backchannel on Twitter, and also live, moderated Q&A after the talk.
Regular presentations: pre-recorded, with timed release on YouTube Premiere, backchannel discussions in the private text-based forum, and in public on YouTube and organically on Twitter.
Panels of Speakers: since the regular presentations are pre-recorded, these are an opportunity for the audience to interact live with the speakers. We’ll cluster speakers by topic, for a live broadcast discussion with a moderator, after their pre-recorded presentations aired. Audience can submit questions ahead of time for moderators to choose, and can also ask live.
Posters: these are digital artifacts that can be static or interactive (e.g., Voilà dashboards), plus a pre-recorded 2-min pitch on video.
Live lightning talks: 5-min moderated live presentations, with a text-based backchannel discussion, but no Q&A with speakers.
Birds-of-a-feather: open-forum video chats organized organically among attendees.
Interviews with influencers in the community as an additional draw of activity and discussion. Other live panels not connected to pre-recorded talks (e.g., Q&A with JupyterHub developers).

Part of a larger initiative

I worked with NumFOCUS (where I’m co-chair of the Board of Directors) to develop a wider program that we named NumFOCUS Academy. It will boost the educational mission of the organization, whose signature program is the PyData conference series—also put at risk by the pandemic. We wrote a proposal for funding to the Sloan Foundation for development of a scalable ecosystem consisting of an online learning platform, a JupyterHub server, front-end websites for JupyterCon, PyData and NumFOCUS Academy, and services like e-commerce, single-sign-on, analytics, and so on.

Sloan approved the grant on May 20, making this ambitious project a reality!

The JupyterCon leadership also secured a Platinum sponsorship from OVH Cloud, who will host all infrastructure needs for the first year. (OVH already hosts nbviewer and a large part of MyBinder.)

Our technical partner is IBL Education: they will deploy and support the learning ecosystem, with Open edX as the centerpiece technology. (Read more: What’s Open edX?) IBL is behind the NVIDIA Deep Learning Institute, the Freshman Year for Free initiative of Modern States, and many other major digital learning initiatives. They also previously worked with me to develop Open edX extensions to create courses based on Jupyter notebooks.

JupyterCon Online will be much more than a conference. We conceived a long-term strategy with the key vision of magnifying career-advancement opportunities for all members of our community, and assembling a permanent library of learning resources.

— Lorena A Barba, JupyterCon 2020 General Chair

JupyterCon Online will be held October 5–17, 2020.

NOW OPEN: Call for Proposals

JupyterCon Online is brought to you by Project Jupyter and NumFOCUS, with additional sponsors.

Want to sponsor JupyterCon? Email us at jupytercon-sponsor@numfocus.org to receive a prospectus.

JupyterCon 2020 is a go!

2020-02-07T21:19:00+00:00

JupyterCon 2020 will be brought to you by Project Jupyter and NumFOCUS. Photo: O’Reilly Media CC BY-NC.

UPDATE: Please read the announcement (June 29, 2020) on JupyterCon Online: “JupyterCon: more than a conference.”

Just over a year ago, Project Jupyter announced it was reevaluating its annual community conference. An advisory committee of volunteers recommended a JupyterCon 2020 emphasizing a focus on access and leadership. We are now thrilled to announce a global Jupyter conference:

JupyterCon 2020 will be held August 10–14 in the historic city of Berlin, Germany.

The call for proposals (tutorials, talks, sprints) will open soon. In the meantime, we invite you to sign up as a proposal reviewer now.

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

What is JupyterCon? Why do we do this?

Open-source software projects are fueled by the labor of many people — most of them volunteers — who often interact only online for years. It’s amazing the value we create together, coordinating our work in a distributed fashion. Even if we spend most of our time interacting through digital mediums, we see their limits and come in person to overcome them. In the community conference, we confirm in-person our virtual social links and our common ethical and professional aims.

In JupyterCon, we celebrate the distributed nature of our community, face-to-face. We enhance the year-long remote collaborations with in-person interactions for just a few days. This helps sustain a community, building and strengthening relationships among Jupyter aficionados and developers, newbies and veterans. JupyerCon inspires keen appreciation for the collective labor that creates high-quality technology for anyone in the world to use freely.

We come together to share, hack, eat, play, bond, and imbue with meaning our work, whether paid or volunteer. JupyterCon is a place where we feel free to express our intellectual aspirations, doubts, and pleasures. For the conference to unify us and develop our group solidarity, we welcome and include everyone. JupyterCon 2020 makes a strong public commitment to diversity and inclusion, with a rich program of actions to support it.

Message from the JupyterCon Diversity Chair:

I’m excited to join the JupyterCon 2020 leadership as Diversity Chair. My goals are two-fold: to drive the conference’s diversity and inclusion actions; and to move the needle on long-term diversity achievement so this position is redundant in the future. An inclusive environment at JupyterCon is a common resource. It is like air and water. By using Jupyter, within its extensive ecosystem, we are all participants and contributors and have the potential to positively impact our environment, both within the conference and the greater community.

I invite you to share any thoughts, concerns, or suggestions related to diversity by writing to jupytercon-diversity@numfocus.org.

— Reshama Shaikh, Diversity Chair

The JupyterCon program—with tutorials, talks, social events, and more—will be full of opportunities for participants to share knowledge with each other and to gain professional skills. Save the date and look out for coming announcements!

We want to thank the fabulous team of volunteers that is planning JupyterCon (listed below), as well as the many community members who participated on the JupyterCon advisory committee last year (co-chaired by Safia Abdalla, Paige Bailey, and Doug Blank), and the Jupyter Events working group (Lorena Barba, Sylvain Corlay, Brian Granger, Jason Grout, Ana Ruvalcaba).

Stay tuned for more details coming soon!

— Lorena A Barba, JupyterCon 2020 General Chair

JupyterCon 2020 Venue and dates

Berlin Conference Center, 10–13 August 2020
(sprints on Aug. 14, venue to be announced)

JupyterCon 2020 Committee

Lorena A. Barba, General Chair
Sylvain Corlay, Vice Chair
Jason Grout, Technical Program Chair
Reshama Shaikh, Diversity Chair
Paco Nathan, Sponsorships Chair
Rosie Pongracz, Finance Chair
Paige Bailey, Communications/Marketing Chair
Joshua Patterson, Exhibits Chair
Tania Allard and Gerard Gorman, Tutorials Chair
Safia Abdalla and Kirstie Whitaker, Sprints Co-Chairs
Jeremy Tuloup, Local Organizing Committee Chair
Wolf Vollprecht, Local Sponsorships Liaison
Laura Norén, Eco-friendly Event Chair
Amanda Casari, Speaker Management
Jim Weiss (NumFOCUS), Logistics Chair
Carol Willing, Special Advisor to the General Chair

JupyterCon 2020 is an event brought to you in partnership by Project Jupyter and NumFOCUS.

The Future of JupyterCon, 2019 and Beyond

2018-12-12T18:20:00+00:00

Project Jupyter’s goals for our annual conference include serving our global community, connecting Jupyter users from different disciplines, showcasing their knowledge, and celebrating the many ways that Jupyter is making an impact in the world. In partnership with O’Reilly and NumFOCUS, with the support of many sponsors, we brought our community together for two successful Jupyter conferences, JupyterCon 2017 and JupyterCon 2018, where hundreds gathered for talks, tutorials, and code sprints. Additionally, over a hundred talks were recorded for the wider community to watch (2017, 2018).

We would like to thank the team at O’Reilly Media for partnering with us to offer JupyterCon 2017 and 2018. Their expertise in creating and managing complex events with hundreds of attendees was invaluable, and we learned a great deal from working with them.

To better serve our rapidly-growing global community and their evolving needs, Project Jupyter is re-evaluating the focus and strategic direction of future Jupyter conferences. To do so, we are organizing a diverse committee of community members who will investigate different conference formats, including a lower-cost one, and explore new venues / locations. This committee will share their results with the Jupyter Steering Council, who will decide based on these recommendations whether to host the next Jupyter conference in 2019 or defer until 2020.

If you would like to volunteer to help with the exploratory committee, please fill out the introduction form by December 21.

The previously announced dates and location for JupyterCon 2019 in August 2019 will no longer apply. We, Project Jupyter, are sorry for any inconvenience this may cause you, and we will work to keep you informed of the committee’s results and future conference plans.

In addition to the annual conference being explored by this committee, Jupyter has many other local gatherings which will continue to proceed, such as Jupyter Days, Jupyter Community Workshops, and local code sprints and open studios (read the latest event news on our blog).

As with all things Jupyter, your input is welcome on our public channels (mailing list and our experimental discourse instance). If you have a specific question that requires a private response, please contact jupyterops@gmail.com.

As we reflect on what Jupyter and its community achieved in 2018, we are humbled by your talent and impact on the world. We wish everyone a healthy and prosperous new year.

Synopsis: JupyterCon 2018 Education Track

2018-08-22T01:02:00+00:00

Barba keynoting at JupyterCon 2017. Credit: O’Reilly Media.

I’m on the train to NY, giddy in anticipation of the Jupyter community celebrating together for the second year. It was a privilege for me to be invited to keynote last year, at the inaugural JupyterCon. This year, I am part of the Program Committee, co-chairing the education track with Robert Talbert. Let me tell you about the impressive and inspiring conference line-up for Jupyter in education!

The main conference lists 11 talks on the education track, listed below. In addition to these, we have a panel (2:40–3:20pm Thursday), and an unconference-style session on Thursday at 5 PM.

The panel is titled “The Future of Jupyter in Education,” and features the following panelists:

Carol Willing, @WillingCarol
Natalia Clementi, @ncclementi
James Colliander, @colliand
Allen Downey, @allendowney
Jason Moore, @moorepants
Danny Caballero, @physicistdanny

Each panelist will make a 2–3 min statement to get people thinking, and then it’s Q&A with the audience. We’ve asked the panelists to jot down some ideas to share with us, based on the following questions:

What do you see in the future of Jupyter if it is to fulfill its potential for teaching and learning?

What do you want from Jupyter as its adoption in education grows?

If you are interested in the future of Jupyter in education, please come join the conversation at the panel — it will be energizing!

One thing we don’t want for the discussion in this panel is to drift towards the DevOps challenges of adopting the tools (like JupyterHub and nbgrader). The Project Jupyter team is very aware that DevOps is a pain point for the educational uses of Jupyter. And they are working on it!

Let’s put our minds together to build a vision for the ecosystem, imagine how institutions might collaborate (e.g., federated solution in Canada), what could be the role of the private sector (i.e., paid options, freemium models), or the nonprofit sector (e.g., NumFOCUS) — but refrain from going into the weeds of concrete technical details (on this occasion).

We want to steer the conversation towards the learning concerns more than the edtech concerns. For example, now that many educators are using Jupyter, can we look into what works, and are we using research-based pedagogical strategies? What are these (e.g., chunking, scaffolding), and can we distill some “best practices”?

For the unconference-style session, the slate is clean. We’ll bring sharpies and big post-it notes, and be ready to live tweet!

Thursday: 5 sessions

11:05am–11:45am
Flipped learning with Jupyter: Experiences, best practices, and supporting research, Beekman/Sutton North | Lorena Barba (George Washington University), Robert Talbert (Grand Valley State University)

11:55am–12:35pm
JupyterHub for domain-focused integrated learning modules, Beekman/Sutton North | Mariah Rogers (UC Berkeley Division of Data Sciences), Ronald Walker (UC Berkeley Division of Data Sciences), Julian Kudszus (Yelp)

1:50pm–2:30pm
Jupyter for every high schooler, Beekman/Sutton North | Rob Newton (Trinity School)

2:40pm–3:20pm
Real-time collaboration with Jupyter notebooks using CoCalc, Murray Hill | William Stein (SageMath, Inc. | University of Washington)

4:10pm–4:50pm
Learn by doing: Using data-driven stories and visualizations in the (high school and college) classroom, Beekman/Sutton North | Carol Willing (Cal Poly San Luis Obispo), Jessica Forde (Jupyter), Erik Sundell (IT-Gymnasiet Uppsala)

Friday: 6 sessions

11:05am–11:45am
Data science in US and Canadian higher education, Beekman/Sutton North | Laura Noren (NYU Center for Data Science)

11:55am–12:35pm
I don’t like notebooks, Nassau | Joel Grus (Allen Institute for Artificial Intelligence)

11:55am–12:35pm
The Jupyter Notebook as a transparent way to document machine learning model development: A case study from a US defense agency, Concourse A: Business Summit | Catherine Ordun (Booz Allen Hamilton)

1:50pm–2:30pm
Jupyter graduates, Beekman/Sutton North | Douglas Blank (Bryn Mawr College), Nicole Petrozzo (Bryn Mawr College)

2:40pm–3:20pm
Reproducible education: What teaching can learn from open science practices, Beekman/Sutton North | Elizabeth Wickes (School of Information Sciences, University of Illinois at Urbana-Champaign)

5:00pm–5:40pm
Current RISE candies and its evolution into the future, Beekman/Sutton North | Damián Avila (Anaconda, Inc.)

If I missed an education-track session in my synopsis, let me know and I’ll add it!

JupyterCon 2018: Registration Open

2018-04-11T15:01:00+00:00

Dear Jupyter Community,

For the past six months, the Project Jupyter team in collaboration with O’Reilly Media and NumFOCUS have been planning JupyterCon 2018. In January, we opened the Call For Proposal, during which we received numerous high-quality proposals. The total submissions exceed our expectations: more than 3 times the number of available slots! With the help of the Program Committee Reviewers and co-chairs Fernando Pérez, Brian Granger and Paco Nathan, we had the hard job of selecting among the fantastic submissions we received. Today we are happy to announce that most of the JupyterCon 2018 Program is ready and registration is open! We are exited to bring you sessions about Scaling JupyterHub, leveraging GPUs for Jupyter, Running C++, in Jupyter, and many more.

Fernando Pérez and Andrew Odewahn during JupyterCon 2017 Opening Keynote

As Paco Nathan previously announced, this year will have a dedicated Education Track, and Business Summit to supplement the Main Tracks, Trainings, and Tutorials that we already brought to you last year. Many of the highlights of last year such as “Meet the Experts” office hours, a Poster Session for extended discussions with presenters, and the Vendor Expo Hall will return this year.

As with last year, JupyterCon will be held at the New York Hilton Midtown, NYC, August 21-24 and Saturday 25th. You can register today for the main conference. Early Bird pricing ends on May 18th. You can also use the discount code PJ20. We also have a limited amount of financial support for JupyterCon for attendees thanks to our partners. Last year, we provided scholarships to 13 students from diverse backgrounds to attend JupyterCon 2017.

Community Sprint Day, August 25th.

Thanks to Bloomberg, Saturday, August 25th will be reserved for a separate Community Sprint day, free of charge. All community members, whether or not you plan to attend the main conference, are invited. This day will be focused on community, contributing to Jupyter, and Open Source in a “Open Studio” form. Whether you are new to Jupyter or a power user, we invite you to come and mingle with the rest of the attendees to lean about any Jupyter-related project.

Several activities will be available. Whether you have coding, design, or writing skills, we encourage you to contribute, pitch your ideas, and get started on something brand new.

Are you new to open source, Git, and GitHub? We’ll offer a introduction to Open-Source 101 and how to get development versions on your machine.

You’ve never tried Jupyter or you are an advanced user of Jupyter with specific needs? We’ll be hosting a JupyterLab user-testing session where you will have the chance to try upcoming features and give us critical insight on how to improve usability.

Interested in contributing back to Jupyter or related projects? Many experts will be here to help you move your project forward. If you are coming to JupyterCon and would like to help with Community Sprint Day, or have a project you’d like attendees to work on let us know !

The Community Sprint Day is free to attend, but registration is required.

Jupyter Pop-Up, DC, May 15th

You can’t wait to attend JupyterCon 2018 ? You can attend Jupyter Pop-Up, DC, May 15th for a Day long event, and a taste of what is to come !

Do not forget to follow this blog, @projectJupyter or @jupytercon, for further updates on JupyterCon.

Thanks to The O’Reilly Media Team; The Conference Chairs (Brian Granger, Paco Nathan and Fernando Pérez); The Program Committee (Dan Allan, Ian Allison, Paige Bailey, Lorena Barba, Tom Caswell, Afshin Darian, John Detlefs, Chris Erdmann, Jessica Forde, Stuart Geiger, Tim George, Michelle Gill, Tim Head, Jennifer Klay, Cierra Martinez, Emiliy Jane McTavish, Omoju Miller, M Pacer, Peter Parente, Eszti Schoell, Steve Silvester, Robert Talbert, Dwight Townsend, Wolf Vollprecht, Jamie Whitacre, Kevin Zielnicki) and all the people making JupyterCon 2018 possible, and Jupyter a reality.

JupyterCon 2018, NYC August 21–25

2018-03-15T18:30:00+00:00

Discover how data-driven organizations are using Jupyter to analyze data, share insights, and foster practices for dynamic, reproducible data science.

I’m grateful to join Fernando Pérez and Brian Granger as a program co-chair for JupyterCon 2018. Project Jupyter, NumFOCUS, and O’Reilly Media will present the second annual JupyterCon in New York City on August 21–25.

Timing for this event couldn’t be better. The human side of data science, machine learning/AI, and scientific computing is more important than ever. This is seen in the broad adoption of data-driven decision making in human organizations of all kinds, the increasing importance of human centered design in tools for working with data, the urgency for better data insights in the face of complex socioeconomic conditions worldwide, as well as dialogue about the social issues these technologies bring to the fore: collaboration, security, ethics, data privacy, transparency, propaganda, etc.

To paraphrase our co-chairs, Brian Granger:

“Jupyter is where humans and data science intersect”

and Fernando Perez:

“The better the technology, the more important that human judgement becomes”

Consequently, we’ll explore three main themes at JupyterCon:

Interactive computing with data at scale: the technical best practices and organizational challenges of supporting interactive computing in companies, universities, research collaborations, etc (JupyterHub)
Extensible user interfaces for data science, machine learning/AI, and scientific computing (JupyterLab)
Computational communication: taking the artifacts of interactive computing and communicating them to different audiences

A meta-theme which ties these together is extensible software architecture for interactive computing with data. Jupyter is built on a set of flexible, extensible, and re-usable building blocks which can be combined and assembled to address a wide range of usage cases. These building blocks are expressed through the various open protocols, APIs, and standards of Jupyter.

The Jupyter community has much to discuss and share this year. For example, success stories such as the data science program at UC Berkeley illustrate the power of JupyterHub deployments at scale, in both education, research and industry. As universities and enterprise firms learn to handle the technical challenges of rolling out hands-on, interactive computing at scale, a cohort of organizational challenges come to the fore: practices regarding collaboration, security, compliance, data privacy, ethics, etc. These points are especially poignant in verticals such as healthcare, finance and education, where the handling of sensitive data is rightly constrained by ethical and legal requirements (HIPAA, FERPA, etc.). Overall, this dialogue is extremely relevant — it is happening at the intersection of contemporary political and social issues, industry concerns, new laws (GDPR), the evolution of computation, plus good storytelling and communication in general — as we’ll explore with practitioners throughout the conference.

Recent beta release of JupyterLab embodies the meta-theme of extensible software architecture for interactive computing with data. While many people think of Jupyter as a “notebook,” that’s merely one building block needed for interactive computing with data. Other building blocks include terminals, file browsers, LaTeX, markdown, rich outputs, text editors, and renderers/viewers for different data formats. JupyterLab is the next-generation user interface for Project Jupyter, and provides these different building blocks in a flexible, configurable, customizable environment. This opens the door for Jupyter users to build custom workflows, and also for organizations to extend JupyterLab with their own custom functionality.

Thousands of organizations require data infrastructure for reporting, sharing data insights, reproducing results of analytics, etc. Recent business studies estimate that more than half of all companies globally are precluded from adopting AI technologies due to a lack of digital infrastructure — often because their efforts toward data and reporting infrastructure are buried in technical debt. So much of that infrastructure was built from scratch, even when organizations needed essentially the same building blocks. JupyterLab’s primary goal is to make it routine to build highly customized, interactive computing platforms, while supporting more than 90 different popular programming environments.

Screenshot from the JupyterLab beta release. Image used with permission from Project Jupyter contributors.

A third major theme builds on top of the other two: computational communication. For data and code to be useful for humans, who need to make decisions, it has to be embedded into a narrative — a story — that that can be communicated to others. Examples of this pattern include: data journalism, reproducible research and open science, computational narratives, open data in society and government, citizen science, and really any area of scientific research (physics, zoology, chemistry, astronomy, etc.), plus the range of economics, finance, and econometric forecasting.

Another growing segment of use cases involves Jupyter as a “last-mile” layer for leveraging AI resources in the cloud. This becomes especially important in light of new hardware emerging for AI needs, vying with competing demand from online gaming, virtual reality, cryptocurrency mining, etc.

Please take the following as personal opinion, observations, perspectives: We’ve reached a point where hardware appears to be evolving more rapidly than software, while software appears to be evolving more rapidly than effective process. At O’Reilly Media we work to map the emerging themes in industry, in a process nicknamed “radar”. This perspective about hardware is a theme I’ve been mapping, and meanwhile comparing notes with industry experts. A few data points to consider: Jeff Dean’s talk at NIPS 2017, “Machine Learning for Systems and Systems for Machine Learning” about comparisons of CPUs/GPUs/TPUs, and how AI is transforming the design of computer hardware; The Case for Learned Index Structures, also from Google, about the impact of “branch vs. multiple” costs on decades of database theory; this podcast interview “Scaling machine learning” with Reza Zadeh about the critical importance of hardware/software interfaces in AI apps; the video interview that Wes McKinney and I recorded at JupyterCon 2017 about how Apache Arrow presents a much different take on how to leverage hardware and distributed resources.

The notion that “hardware > software > process” contradicts the past 15–20 years of software engineering practice. It’s an inversion of the general assumptions we make. In response, industry will need to rework approaches for building software within the context of AI — which was articulated succinctly by Lenny Pruss from Amplify Partners in “Infrastructure 3.0: Building blocks for the AI revolution”. In this light, Jupyter provides an abstraction layer — a kind of buffer to help “future proof” — for complex use cases in NLP, machine learning, and related work. We’re seeing this from most of the public cloud vendors, who are also leaders in AI, Google, Amazon, Microsoft, IBM, etc., and who will be represented at the conference in August.

Our program at JupyterCon will feature expert speakers across all of these themes. However, to me, that’s merely the tip of the iceberg. So much of the real value that I get from conferences happens in the proverbial “Hallway Track”, where you run into people who are riffing off news they’ve just learned in a session — perhaps in line with your thinking, perhaps in a completely different direction. Those conversations have space to flourish when people get immersed in the community, the issues, the possibilities.

It’ll be a busy week. We’ll have two days of training courses: intensive, hands-on coding, lots of interaction with expert instructors. Training will overlap with one day of tutorials: led by experts, generally larger than training courses though more detailed than session talks, featuring lots of Q&A.

Then we’ll have two days of keynotes and session talks, expo hall, lunches and sponsored breaks, plus Project Jupyter sponsored events. Events include Jupyter User Testing, author signings, “Meet the Experts” office hours, demos in the vendor expo hall — plus related meetups in the evenings. Last year the Poster Session was one of the biggest surprises to me: it was difficult to move through the room, walkways were packed with people asking presenters questions about their projects.

This year we’ll introduce a Business Summit, similar to the popular summits at Strata Data Conference and The AI Conf. This will include high-level presentations on the most promising and important developments in Jupyter for executives and decision-makers. Brian Granger and I will be hosting the Business Summit, along with Joel Horwitz of IBM. One interesting data point: among the regional events, we’ve seen much more engagement this year from enterprise and government than we’d expected, more emphasis on business use cases and new product launches. The ecosystem is growing, and will be represented well at JupyterCon!

We will also feature an Education Track in the main conference, expanding on the well-attended Education Birds-of-a-Feather and related talks during JupyterCon 2017. Use of Jupyter in education has grown rapidly across many contexts: middle/high-school, universities, corporate training, and online courses. Lorena Barba and Robert Talbert will be organizing this track.

Following our schedule of conference talks, the week wraps up with a community sprint day on Saturday. You can work side-by-side with leaders and contributors in the Jupyter ecosystem to implement that feature you’ve always wanted, fix bugs, work on design, write documentation, test software, or dive deep into the internals of something in the Jupyter ecosystem. Be sure to bring your laptop.

Note that we believe true innovation depends on hearing from, and listening to, people with a variety of perspectives. Please read our Diversity Statement for more details. Also, we’re committed to creating a safe and productive environment for everyone at all of our events. Please read our Code of Conduct. Last year we were able to work with the community plus matching donations to provide several Diversity & Inclusion scholarships, as well as more than dozen student scholarships. Looking forward to building on that this year!

That’s a sample of what’s coming up for JupyterCon in NYC this August. Meanwhile, we’ll be helping present and sponsor regional community events to help build momentum for the conference:

Jupyter Pop-up Boston, March 21
Jupyter Day Atlanta, March 31
Jupyter Pop-up DC (TBD)
plus, talks at related meetups in some North American metro areas

We look forward to many opportunities to showcase new work and ideas, to meet each other, to learn about the architecture of the project itself, and to contribute to the future of Jupyter.

Sign-up for email updates on the JupyterCon web site. See you there!

[kudos to Brian Granger for help developing and editing this article]

JupyterCon 2018: Call For Proposal

2018-01-18T22:53:00+00:00

Dear fellow Jovyans,

It is with great pleasure that we are opening the Call For Proposals (CFP) for JupyterCon 2018!

Last August, Project Jupyter, the NumFOCUS Foundation, and O’Reilly Media came together to host our first JupyterCon. We attracted over 700 attendees and 23 scholarship recipients for 4 days of talks and tutorials. There were 5 parallel session tracks featuring 55 talks, 11 keynotes, 55 talks, 8 tutorials, and 2 training courses. In addition, the conference poster session featured 33 posters and fostered great discussions within the community. Our Community Day, held at at the end of the conference featured free registration was open to the general public. Videos of the event have been made available on Safari Online and YouTube.

JupyterCon 2018, CFP Open

JupyterCon 2017 was a huge success and we’ve been working hard since then to make JupyterCon 2018 even better. It will be held in New York City in August from Tuesday the 21st to Friday the 24th. We’ll also host an open Community Day on August 25th, which will be open to everyone.

Today we are happy to open the conference website and open the Call For Proposal with submissions due by early March. A couple of changes have been made to the CFP since last year. In particular if your talk is not accepted, you can ask us to automatically consider the proposal for the poster session.

We encourage you to submit a proposal, and reach out to us if you have any questions. We’ll do our best to help you and and give you feedback on your proposal.

Like last year, we will have diversity and student scholarships available; further information will be provided on the website. We also encourage you to follow the JupyterCon Twitter account for announcements or corrections.

Community Day

The final day of JupyterCon 2017 was a blast with a large number of people making their first contribution to the Jupyter codebase, to the documentation, editing the wiki, or deploying it in the cloud. During the conference days, a separate room was also reserved for user testing of different Jupyter software, which proved to be fantastic source of feedback for User Experience (UX) and driving various Jupyter Tools forward.

We are happy to offer this “Community Day” experience again. At JupyterCon 2017, the Saturday was branded “Sprints” with the connotation of a code-centric experience. While we’re happy to see users coming to “Sprint” on code, we want to let you know that the Community Day will be open to anyone. Whether you are a teacher, coder, researcher, or user of Jupyter, the Community Day will have something for you. The Community Day is not limited to attendees of the main JupyterCon event, and it’s intended to be a “grass-roots” celebration of Jupyter and its community. We hope to see you at JupyterCon 2018.

Thanks

JupyterCon 2018 would not be possible without O’Reilly Media, NumFocus, as well as our sponsors.

Enjoy JupyterCon 2017 on YouTube

2017-11-24T10:09:00+00:00

About a year ago the Jupyter team started a partnership with O’Reilly Media and NumFOCUS to organize JupyterCon 2017, the first in a series of Jupyter-related conferences. JupyterCon 2017 drew over 700 attendees and offered a fantastic set of tutorials, talks and keynotes from all corners of the Jupyter ecosystem. We could not have offered you such a beautiful conference without the O’Reilly Media and NumFOCUS partnership and teams.

Did you miss JupyterCon 2017?

We have a strong commitment to open-source and we believe that everyone should have access to high-quality tools and content to push science, education and technology forward. O’Reilly Media is one of the top publishers in this space, and they already provide a variety of material and training related to Jupyter and the open-source data ecosystem of which it is a part (see O’Reilly’s Jupyter related content here). It is no surprise then that the full content of JupyterCon 2017, including keynotes, tutorials, talks and exclusive interviews, is available as videos on Safari Online.

We are also pleased to announce that videos of all keynotes and talks (69 videos in total) are now available on YouTube on the O’Reilly Media channel. If you missed JupyterCon, or want to re-watch a talk, you can now add these to your watch-list! As an example here is the opening keynote given by Fernando Pérez:

See you next August for JupyterCon 2018

We are thrilled to be able to provide you with all this content from JupyterCon 2017 to enjoy on YouTube. JupyterCon 2018 will be in NYC next August 22–24. We hope to see you there next year as an attendee, speaker or sponsor. You can sign up for email updates about JupyterCon 2018 on this page.

[Update Jan 2018] Missing Talks

The Talk “Jupyter and the changing rituals around computation” is missing from the channel due to technical issue during the recording.

JupyterCon NYC: August 22nd-25th

2017-07-14T18:56:00+00:00

Dear fellow Jovyans,

We’re just weeks away our first Jupyter community conference, JupyterCon. It will take place from August 22nd to 25th (and Sprints 26th), in the beautiful city of New York, at the Hilton Midtown, a spectacular location just steps from Central Park, Times Square, MOMA.

If you haven’t registered yet there’s still time. There are a number of pass options to choose from including 2, 3, or 4 day passes. Discounts are available for students, academic instructors, and government and non-profit employees. Don’t qualify for any of those? We have a special 20% discount for you, just use the code JUPCORE20 when you register.

What is JupyterCon?

The four day event will feature two days of training and tutorials and two days of Keynotes and Sessions. Topics include the Jupyter platform’s core architecture, kernels, extensions & customizations, usage and application of Jupyter Notebooks, as well as sessions on Jupyter’s development and community from the core Jupyter team.

We’ve left plenty of time for networking, including attendee receptions, Speed Networking, Poster Sessions, community group meetups, as well as the chance to meet some of the speakers in small group settings. Check out the event page. The core Jupyter team will also be present and ready to answer your trickiest questions about the Jupyter platform and what’s in-store for the future.

The preconference starts on Monday 21st with a Solar Eclipse from 1:23pm to 4:00 pm in NYC.

A fantastic line-up of speakers

JupyterCon is chaired by Fernando Pérez, creator and BDFL of Jupyter, and Andrew Odewahn, CTO of O’Reilly.

Some of the speakers joining us at JupyterCon include:

Lorena Barba from the George Washington University
Nadia Eghbal from GitHub
Wes McKinney from Two Sigma Investment
Safia Abdalla from the nteract project
Rachel Thomas from Fast.ai
Brett Cannon from Microsoft / the Python Software Fundation

These are only a few of the speakers joining us. We are looking forward to hearing how Jupyter is being used in education, finance, machine learning, and what the future holds for the Jupyter ecosystem. See the full line-up here.

Sprints

Sprints are happening on Saturday 26th, if you want to come hack on Jupyter and related project get more information on the GitHub JupyterCon repository. You do not need to have registered to the main conference — but you must registered via Eventbrite even if you have already register for the main conference.

Financial aid

We had a number of really good applicants for financial help, and the selection process was tough. If you have not been selected this time, don’t be discouraged and we hope to see you at the next JupyterCon.

BOFS

We will have a special “Jupyter for Teaching & Learning BOF“ organized by Lorena Barba And Robert Talbert on Thursday at 7pm. This BOF is for anyone interested in using Jupyter for teaching and learning. Topics for discussion include incorporating Jupyter in the classroom, using Jupyter tools like nbgrader and JupyterHub, connecting with other Jupyter educators, and more. For more information and to let us know you’re interested in participating, please see this flyer and fill out the Call for Participation form at http://bit.ly/jupyter-ed-bof.

Solar Eclipse

If you are coming from outside of the United States please remember to be in NYC on the 21st from 1:23pm as there is a (partial) solar eclipse in NYC, which ends at 4:00.pm. Do not forget your eclipse glasses!

Thanks

This is our first JupyterCon! We do welcome feedback and will be looking for help to organize another one next year. Please contact us if you are interested in helping organizing the next conference.

We’ve partnered with O’Reilly Media to develop the JupyterCon conference. O’Reilly Media is a long-time supporter of the project and active publishers in the Python/Data Science space. O’Reilly has extensive experience running conferences and we’ve been working with them for the past year to bring you a great inaugural JupyterCon.

I also want to thank the members of the Jupyter Con committee as well as the Jupyter Community Members and the team at O’Reilly Media, and all our sponsors for making this conference possible.

You can learn more on the conference website

Jupyter Blog - JupyterCon

JupyterCon 2025!

Quick Links:

About JupyterCon 2025

Registration

Become a Sponsor at JupyterCon 2025

🎉 JupyterCon 2023 recordings now live on YouTube! 🎉

JupyterCon 2023 is just around the corner, and it promises to be an exciting and action-packed…

JupyterCon 2023 keynotes

JupyterCon is back in 2023

What is JupyterCon?

Benjamin Ragan-Kelley

Omoju Miller

Lucy D’Agostino McGowan

Juan Klopper

Jeremy Howard

Anima Anandkumar

JupyterCon Online: more than a conference

Conference Program

Part of a larger initiative

JupyterCon 2020 is a go!

What is JupyterCon? Why do we do this?

Message from the JupyterCon Diversity Chair:

JupyterCon 2020 Venue and dates

JupyterCon 2020 Committee

The Future of JupyterCon, 2019 and Beyond

Synopsis: JupyterCon 2018 Education Track

Thursday: 5 sessions

Friday: 6 sessions

JupyterCon 2018: Registration Open

Community Sprint Day, August 25th.

Jupyter Pop-Up, DC, May 15th

JupyterCon 2018, NYC August 21–25

JupyterCon 2018: Call For Proposal

JupyterCon 2018, CFP Open

Community Day

Thanks

Enjoy JupyterCon 2017 on YouTube

Did you miss JupyterCon 2017?

See you next August for JupyterCon 2018

[Update Jan 2018] Missing Talks

JupyterCon NYC: August 22nd-25th

What is JupyterCon?

A fantastic line-up of speakers

Sprints

Financial aid

BOFS

Solar Eclipse

Thanks