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| LICENSE | ||
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Jupyter Notebook
The Jupyter notebook is a web-based notebook environment for interactive computing.
Notice
The Jupyter Notebook project is currently undertaking a transition to a more modern code base built from the ground-up using JupyterLab components and extensions.
There is new stream of work which was submitted and then accepted as a Jupyter Enhancement Proposal (JEP) as part of the next version (v7): https://jupyter.org/enhancement-proposals/79-notebook-v7/notebook-v7.html
There is also a plan to continue maintaining Notebook v6 with bug and security fixes only, to ease the transition to Notebook v7: https://github.com/jupyter/notebook-team-compass/issues/5#issuecomment-1085254000
Notebook v7
The next major version of Notebook will be based on:
- JupyterLab components for the frontend
- Jupyter Server for the Python server
This represents a significant change to the jupyter/notebook code base.
To learn more about Notebook v7: https://jupyter.org/enhancement-proposals/79-notebook-v7/notebook-v7.html
Classic Notebook v6
Maintainance and security-related issues are now being addressed in the 6.4.x branch.
A 6.5.x branch will be soon created and will depend on nbclassic for the HTML/JavaScript/CSS assets.
New features and continuous improvement is now focused on Notebook v7 (see section above).
If you have an open pull request with a new feature or if you were planning to open one, we encourage switching over to the Jupyter Server and JupyterLab architecture, and distribute it as a server extension and / or JupyterLab prebuilt extension. That way your new feature will also be compatible with the new Notebook v7.
Jupyter notebook, the language-agnostic evolution of IPython notebook
Jupyter notebook is a language-agnostic HTML notebook application for Project Jupyter. In 2015, Jupyter notebook was released as a part of The Big Split™ of the IPython codebase. IPython 3 was the last major monolithic release containing both language-agnostic code, such as the IPython notebook, and language specific code, such as the IPython kernel for Python. As computing spans across many languages, Project Jupyter will continue to develop the language-agnostic Jupyter notebook in this repo and with the help of the community develop language specific kernels which are found in their own discrete repos.
Installation
You can find the installation documentation for the Jupyter platform, on ReadTheDocs. The documentation for advanced usage of Jupyter notebook can be found here.
For a local installation, make sure you have pip installed and run:
pip install notebook
Usage - Running Jupyter notebook
Running in a local installation
Launch with:
jupyter notebook
Running in a remote installation
You need some configuration before starting Jupyter notebook remotely. See Running a notebook server.
Development Installation
See CONTRIBUTING.md for how to set up a local development installation.
Contributing
If you are interested in contributing to the project, see CONTRIBUTING.md.
Community Guidelines and Code of Conduct
This repository is a Jupyter project and follows the Jupyter Community Guides and Code of Conduct.