jupyter_client contains the reference implementation of the Jupyter protocol. It also provides client and kernel management APIs for working with kernels.

It also provides the jupyter kernelspec entrypoint for installing kernelspecs for use with Jupyter frontends.

The Jupyter Contributor Guides provide extensive information on contributing code or documentation to Jupyter projects. The limited instructions below for setting up a development environment are for your convenience.

You'll need Python and pip on the search path. Clone the Jupyter Client git repository to your computer, for example in /my/project/jupyter_client. Now create an editable install and download the dependencies of code and test suite by executing:

cd /my/projects/jupyter_client/
pip install -e .[test]
py.test

The last command runs the test suite to verify the setup. During development, you can pass filenames to py.test, and it will execute only those tests.

The documentation of Jupyter Client is generated from the files in docs/ using Sphinx. Instructions for setting up Sphinx with a selection of optional modules are in the Documentation Guide. You'll also need the make command. For a minimal Sphinx installation to process the Jupyter Client docs, execute:

pip install ipykernel sphinx sphinx_rtd_theme

The following commands build the documentation in HTML format and check for broken links:

cd /my/projects/jupyter_client/docs/
make html linkcheck

Point your browser to the following URL to access the generated documentation:

file:///my/projects/jupyter_client/docs/_build/html/index.html