Installation

With Conda

xeus-python has been packaged for the conda package manager.

To ensure that the installation works, it is preferable to install xeus-python in a fresh conda environment. It is also needed to use a miniconda installation because with the full anaconda you may have a conflict with the zeromq library which is already installed in the anaconda distribution.

The safest usage is to create an environment named xeus-python with your miniconda installation

conda create -n xeus-python
conda activate xeus-python # Or `source activate xeus-python` for conda < 4.6

Then you can install in this freshly created environment xeus-python and its dependencies

conda install xeus-python notebook -c conda-forge

or, if you prefer to use JupyterLab

conda install xeus-python jupyterlab -c conda-forge

From PyPI

Depending on the platform, PyPI wheels may be available for xeus-python.

pip install xeus-python notebook

However, the wheels uploaded on PyPI are experimental.

In general we strongly recommend using a package manager instead. We maintain the conda-forge package, and nothing prevents you from creating a package your favorite Linux distribution or FreeBSD.

The ongoing effort to package xeus-python for pip takes place in the xeus-python-wheel repository.

From Source

You can install xeus-python from source with cmake. This requires that you have all the dependencies installed in the same prefix.

mkdir build
cd build
cmake -DCMAKE_INSTALL_PREFIX=/path/to/prefix ..
make install

On Windows platforms, from the source directory:

mkdir build
cd build
cmake -G "NMake Makefiles" -DCMAKE_INSTALL_PREFIX=/path/to/prefix ..
nmake
nmake install

Installing the Kernel Spec

When installing xeus-python in a given installation prefix, the corresponding Jupyter kernelspecs are installed in the same environment and are automatically picked up by Jupyter if it is installed in the same prefix.

However, if Jupyter is installed in a different location, it will not pick up the new kernel. The xeus-python can be registered with the following command:

jupyter kernelspec install PREFIX/share/jupyter/xpython --sys-prefix

For more information on the jupyter kernelspec command, please consult the jupyter_client documentation.