Project Jupyter

The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.

JupyterLite Officially Joins Project Jupyter!

We are thrilled to announce that JupyterLite is now an official part of Project Jupyter. This milestone marks a significant step forward for interactive computing in the browser and strengthens JupyterLite’s role within the Jupyter ecosystem.

Introducing notebook.link: The Future of Notebook Sharing

Reimagining how you share, collaborate, and run Jupyter notebooks — all in your browser.

Jupyter Notebooks – a publishing format for reproducible computational workflows

It is increasingly necessary for researchers in all fields to write computer code, and in order to reproduce research results, it is important that this code is published. We present Jupyter notebooks, a document format for publishing code, results and explanations in a form that is both readable and executable. We discuss various tools and use cases for notebook documents.

Jupyter notebooks for web archives

A presentation created with Slides.

Jupyter Everywhere

Jupyter for teaching, sharing, and exploring — everywhere.

JupyterLite — JupyterLite 0.7.4 documentation

JupyterLite is a JupyterLab distribution that runs entirely in the browser built from the ground-up using JupyterLab components and extensions.

Wragge Labs

A compilation of things I've built over the last 30 years to help people see and use the online collections of libraries, archives, and museums.

deepnote/deepnote

Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data apps. https://deepnote.com/

Deploying Jupyter Notebooks at scale on XSEDE resources for Science Gateways and workshops

We present a survey of credential management approaches for science gateways to integrate with the X.509 security infrastructure used by XSEDE.

Callysto: Bringing Jupyter and Computational Thinking to the K-12 Curriculum

Cybera and the Pacific Institute for Mathematical Sciences are participating in the new national CanCode program, to develop coding and digital skills from kindergarten to grade 12.  With the launch of the Callysto project, we are creating tools and frameworks that help teachers bring computational thinking into their math, science, social sciences, and humanities courses - giving students the analytical skills needed to comprehend the digital world. Leveraging the Jupyter 'All-in-One' Science Platform to put friendly yet powerful compute tools in classroom settings, we are creating showcase modules and workshop training for K-12 teachers to incorporate data and computing into the broad curriculum.  At this presentation, you will learn about how Callysto will:  Bring computational thinking to classrooms through K-12 teacher training  Create opportunities to participate in free workshop training sessions and content creation  Help K-12 teachers gain public recognition for participating in this educational training project Note: This presentation is related to our 2017 BCNET presentation on "Bringing The Thunder: Deploying Jupyter Notebooks For Research, Education, And Innovation." View Slidedeck