Speaker
Description
This task will show how JupyterLite can improve a community hosted training session by reducing the friction for learners to access JupyterLab in class and later at home.
JupyterLite is a distribution of Jupyter for WebAssembly (Wasm) enabling JupyterLab to run completely (including the Jupyter server) in a modern web browser. Support to R on JupyterLite was added in 2025.
For community hosted training sessions, JupyterLite offers a zero cost solution to provide a friction-less learning experience that can be used in the classroom and at home.
During this talk, attendees will also learn about the new repo2wasm. repo2wasm is an open source tool inspired by repo2docker to help instructors to create the JupyterLite environment they will use in class.
If you used AI tools or services to support the preparation of this submission, please state the name and reason for using each of them.
No AI tools/services were used.
| Keywords: Please list up to 5 keywords to help us find the right session for your contribution. | Wasm, Jupyter, Reproducibility |
|---|---|
| Virtual Option | This submission is for onsite presentation only |
| Video Recording | Video sharing is fine |
| The author(s) agree(s) to take responsibility and be accountable for the contents of the submission and is/are authorized to present it. | Confirm |
| Interested in serving as reviewer? | r.gaia.cs@gmail.com |