How to contribute to Naas open-source notebook templates? 🌏😎
#opensource #python #naas #github #datascience #datageeks
Contribute to the repository : https://github.com/jupyter-naas/aweso...
and win credits to top-up your cloud data engine!
🚀 Get started for free with https://www.naas.ai/
1 contribution (PR) = 50 credits
1 video pitching you notebook = 40 credits
1 post on social media taging naas = 10 credits
Naas is your cloud engine to write low-code scripts in Python.
It enables you to access any data sources, create automation, and augment them with AI.
Naas is made of 3 elements :
🚀 Features: enable faster iteration and deployment of outputs to end-users, in a headless manner with low-code: scheduling, asset sharing, notifications...
🏎 Drivers: low-code formulas acting as connectors to facilitate access to tools, and use complex libraries (database, API, ML algorithm…)
😎 Templates: enable data geeks to kickstart projects in minutes, while the low-code features
+120 templates available, see the Github repository
👉 With the open-source and hosted nature of Naas.ai, get straight to the point! No need to deploy complex server infrastructure.
More info on Naas documentation :
https://naas.gitbook.io/naas/
About Naas.ai :
Naas is the first Jupyter based data-science platform that allows you to schedule, run, and expose all the awesome things you can with notebooks.
SaaS & Open-source.