Build a data studio in your notebook with jupyter-fs
summary
jupyter-fs maps the Jupyter contents API to PyFilesystem and fsspec backends and ships as a contents manager plus server and JupyterLab front-end extensions. It builds a separate tab file browser (Treefinder) that is virtualized for thousands of entries, and it ships snippets that paste code into the kernel to read from S3, Samba, WebDAV or local folders. Authentication uses either prompts or environment variables, the kernel still runs locally, and demos show it works though remote S3 access can be slow.
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chapters (9)
- 0:00Introduction
- 1:08Motivation for Jupyter FS
- 3:57What is Jupyter FS
- 7:26Jupyter FS and file systems
- 10:56Core features
- 12:39Snippets for data access
- 14:45Demo and use cases
- 18:15Future plans
- 19:43Q&A
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