12-08, 13:00–16:00 (UTC), Sprints
Join the sprint at https://numfocus-org.zoom.us/j/88237670803?pwd=vSKWQ3FULy7ufuXQgWOK3OO0pyRhhC.1
Sprint Leader
Jeremy Ravenel (https://github.com/jravenel)
Naas is building a universal data & platform: a simple chat interface to interact with LLMs paired with a low-code orchestration system based on 3 layers of abstraction on top of JupyterLab ( app.naas.ai). These layers include DevOps features (naas library: scheduler, pipeline, asset sharing, webhook, notifications) Data Engineering features (naas_drivers library, wrappers on top of tools API to output data frames), and a Notebook Templates catalog treating notebooks as logic gates rather than exploratory documents (each notebook templates is structured the same way: input/model/output). Templates can be searched on github or via naas.ai/search
Sprint Options
1) Contribute to the catalog of notebook templates (awesome-notebooks) we are building with our community https://github.com/jupyter-naas/awesome-notebooks and take on some issues
2) Contribute to our business-oriented solution ABI (Artificial Business Intelligence): https://github.com/jupyter-naas/abi using templates as components to create data products.
3) Contribute to one specific template using Pyvis to visualize the awesome-notebooks catalog where we need to enable search and improve the result of the first iteration one contributor made (what we can see below): https://public.naas.ai/amVyZW15LTQwbmFhcy0yRWFp/asset/4de43a1c8838ef4b83fbf3a0fd7bfa89f709e7ed18750056283162e8f720
No previous knowledge expected
