David Brochart

Beyond embarrassingly parallel processing problems, data must be shared between workers for them to do something useful. This can be done by: - sharing memory between threads, with the issue of preventing access to shared data to avoid race conditions.

The Jupyter stack has undergone a significant transformation in recent years with the integration of collaborative editing features: users can now modify a shared document and see each other's changes in real time, with a user experience akin to that of Google Docs.

Jupyter Server is the core web server that powers most Jupyter web applications—it is widely used in research, education, and enterprise. Beyond the core web server, the Jupyter Server Project offers a powerful collection of plugins and extensions that enable deployers to build a Jupyter web...

In the past years, real-time collaboration has become a must for any editor, a feature that users expect as core functionality in their daily editor. Sharing and collaborating on the same document with your colleagues or teachers increases productivity by improving the teamwork experience.