Open source is a term denoting that a product includes permission to use its source code, design documents, or content. It most commonly refers to the open source model, in which open source software or other products are released under an open source license as part of the open source-software movement. Use of the term originated with software, but has expanded beyond the software sector to cover other open content and forms of open collaboration.
Learn Python for free using open-source notebooks in Hebrew.
The modern replacement for Jupyter Notebooks
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
An extensive collection of data and artificial intelligence (AI) notebook templates, curated to encompass models, analytics, code snippets, and a variety of resources. ~ Team ML Nagpur
Open source note-taking application for Android
A simple crossplatform app for taking notes.
my notebook,for learning
Jupyter Notebook tutorials using astronomical databases and virtual observatory tools
A fully open source & end-to-end encrypted note taking alternative to Evernote.
📔 Curated list of resources: books, videos, articles, speaker decks, tools about using the Jamstack.
Low-code Python library to safely use notebooks in production: schedule workflows, generate assets, trigger webhooks, send notifications, build pipelines, manage secrets (Cloud-only)
A simple content writing open source powered by chirpy themed jekyll project.
Special Issue: The Potential of Notebooks for Scientific Publication: Reproducibility, and Dissemination
Jupyter notebook with steps to rediscover the Higgs boson yourself!
A Notebook alternative that supports branching code and local collaboration.
This repo contains open-source tools and tutorials developed by scientists and engineers funded by the NASA TROPESS project.
An open-source code snippet & notebook app for developers.
📓Notebook materials for the RSE conference workshop (2017)
A Data science projects made using jupyter notebook and python libraries like matplotlib, numpy and ml tools for comparison of banking sectors