Installing Jupyter Notebook Extensions ====================================== To install notebook extensions, three steps are required. First, this Python package needs to be installed. Then, the notebook extensions themselves can be copied to the Jupyter data directory. Finally, the installed notebook extensions can be enabled, either by using built-in Jupyter commands, or more convenient by using the jupyter_nbextensions_configurator server extension. The Python package installation step is necessary to allow painless installation of the extensions togther with additional items like nbconvert templates, pre-/postprocessors, and exporters. 1. Install the python package ----------------------------- All of the nbextensions in this repo are provided as parts of a python package, which is installable in the usual manner, using `pip` or the `setup.py` script. You can install directly from the current master branch of the repository pip install https://github.com/ipython-contrib/jupyter_contrib_nbextensions/tarball/master All the usual pip options apply, e.g. using pip's `--upgrade` flag to force an upgrade, or `-e` for an editable install. You can also install from a cloned repo, which can be useful for development. You can clone the repo using git clone https://github.com/ipython-contrib/jupyter_contrib_nbextensions.git jupyter_contrib_nbextensions Then perform an editable pip install using pip install -e jupyter_contrib_nbextensions 2. Install javascript and css files ----------------------------------- This step copies the nbextensions javascript and css files into the jupyter server's search directory. A `jupyter` subcommand is provided which installs all of the nbextensions files: jupyter contrib nbextension install --user The command is essentially a wrapper around the notebook-provided `jupyter nbextension`, and can take most of the same options, such as `--user` to install into the user's home jupyter directories, `--system` to perform installation into system-wide jupyter directories, `sys-prefix` to install into python's `sys.prefix`, useful for instance in virtual environments, and `--symlink` to symlink the nbextensions rather than copying each file (recommended). An analogous `uninstall` command is also provided, to remove all of the nbextension files from the jupyter directories. 3. Enabling/Disabling extensions -------------------------------- To use an nbextension, you’ll also need to enable it, which tells the notebook interface to load it. To do this, you can use a Jupyter subcommand: jupyter nbextension enable for example, jupyter nbextension enable codefolding/main To disable the extension again, use jupyter nbextension disable Alternatively, and more conveniently, you can use the [`jupyter_nbextensions_configurator`](https://github.com/Jupyter-contrib/jupyter_nbextensions_configurator) server extension, which is installed as a dependency of this repo, and can be used to enable and disable the individual nbextensions, as well as configure their options. 4. Migrating from older versions of this repo --------------------------------------------- The `jupyter contrib nbextensions` command also offers a `migrate` subcommand, which will * uninstall the old repository version's files, config and python package * adapt all `require` paths which have changed. E.g. if you had the collapsible headings nbextension enabled with its old require path of `usability/collapsible_headings/main`, the `migrate` command will alter this to match the new require path of `collapsible_headings/main`. For complex or customized installation scenarios, please look at the documentation for installing notebook extensions, server extensions, nbconvert pre/postprocessors and templates on the Jupyter homepage http://www.jupyter.org. More information can also be found in the [Wiki](https://github.com/ipython-contrib/jupyter_contrib_nbextensions/wiki). .. seealso:: `Installing Jupyter `__