jupyter-naas/awesome-notebooks

+100 awesome Jupyter Notebooks templates, organized by tools, published by the Naas community, to kickstart your data projects in minutes.


repo name	jupyter-naas/awesome-notebooks
repo link	https://github.com/jupyter-naas/awesome-notebooks
homepage
language	Jupyter Notebook
size (curr.)	30353 kB
stars (curr.)	125
created	2020-09-30
license	BSD 3-Clause “New” or “Revised” License

Naas templates

🎱 Naas in short

The Naas project and its hosted version naas.ai is open-source, it transforms Jupyter Notebooks in a safe production environment thanks to micro-services(like a scheduler) accessible in « low-code ».

The product is based on 3 elements: features, drivers and templates. The templates enable “data geeks” to kickstart projects in minutes, the low-code drivers act as connectors to facilitate access to tools, and complex libraries (database, API, ML algorithm…) while the low-code features (scheduling, asset sharing, notifications…) enable faster iteration and deployment of outputs to end users, in a headless manner.

Naas is forever free to use with 100 credits/month. Open your account PS: If you contribute to this library of open-source notebooks templates, you can X2 your monthly credits 🏆

😎 About the awesome-notebooks templates

This project is made for tech-savvy users that wants to save time building their data projects.

Benefit from the open-source collective intelligence and get access to a list of awesome Jupyter Notebookstemplates that contain live code, equations, visualizations and narrative text, on a many different topics.

The repository is organized by source/tools.

Published by Naas community ⭐️.

An open-source software (OSS) or project, is code that is designed to be publicly accessible. There is an enormous opportunity to develop your skills and personal branding by being an « Open-source contributor ».

🙏 How to contribute ?

✅ Vote, create or pick a topic in the Naas templates backlog ✅ Clone the repository in you Naas.ai account or in your local computer. ✅ Join our Slack community: the AI Club, introduce yourself and ask for help when stuck. ✅ Once you have your template ready, create a new branch and push it to Github ✅ Create a Pull Requests to the master branch. ✅ Once the PR is validated, you will receive :