Package: notebook
Jupyter NotebookThe Jupyter notebook is a web-based notebook environment for interactive
computing.Maintained versionsWe maintain thetwo most recently released major versions of Jupyter Notebook,
Classic Notebook v6 and Notebook v7. Notebook v5 is no longer maintained.
All Notebook v5 users are strongly advised to upgrade to Classic Notebook v6 as soon as possible.Upgrading to Notebook v7 may require more work, if you use custom extensions, as extensions written
for Notebook v5 or Classic Notebook v6 are not compatible with Notebook v7.Notebook v7The newest major version of Notebook is based on:JupyterLab components for the frontendJupyter Server for the Python serverThis represents a significant change to thejupyter/notebookcode base.To learn more about Notebook v7:https://jupyter.org/enhancement-proposals/79-notebook-v7/notebook-v7.htmlClassic Notebook v6Maintenance and security-related issuesonlyare now being addressed in the6.5.xbranch.
It depends onnbclassicfor 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 notebookJupyter 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 theIPython notebook,
and language specific code, such as theIPython kernel for Python. As
computing spans across many languages, Project Jupyter will continue to develop the
language-agnosticJupyter notebookin this repo and with the help of the
community develop language specific kernels which are found in their own
discrete repos.The Big Split™ announcementJupyter Ascending blog postInstallationYou can find the installation documentation for theJupyter platform, on ReadTheDocs.
The documentation for advanced usage of Jupyter notebook can be foundhere.For a local installation, make sure you havepip installedand run:pipinstallnotebookUsage - Running Jupyter notebookRunning in a local installationLaunch with:jupyternotebookRunning in a remote installationYou need some configuration before starting Jupyter notebook remotely. SeeRunning a notebook server.Development InstallationSeeCONTRIBUTING.mdfor how to set up a local development installation.ContributingIf you are interested in contributing to the project, seeCONTRIBUTING.md.Community Guidelines and Code of ConductThis repository is a Jupyter project and follows the JupyterCommunity Guides and Code of Conduct.ResourcesProject Jupyter websiteOnline Demo at jupyter.org/tryDocumentation for Jupyter notebookKorean Version of InstallationDocumentation for Project JupyterIssuesTechnical support - Jupyter Google GroupAbout the Jupyter Development TeamThe Jupyter Development Team is the set of all contributors to the Jupyter project.
This includes all of the Jupyter subprojects.The core team that coordinates development on GitHub can be found here:https://github.com/jupyter/.Our Copyright PolicyJupyter uses a shared copyright model. Each contributor maintains copyright
over their contributions to Jupyter. But, it is important to note that these
contributions are typically only changes to the repositories. Thus, the Jupyter
source code, in its entirety is not the copyright of any single person or
institution. Instead, it is the collective copyright of the entire Jupyter
Development Team. If individual contributors want to maintain a record of what
changes/contributions they have specific copyright on, they should indicate
their copyright in the commit message of the change, when they commit the
change to one of the Jupyter repositories.With this in mind, the following banner should be used in any source code file
to indicate the copyright and license terms:# Copyright (c) Jupyter Development Team.
# Distributed under the terms of the Modified BSD License.