Installation#
With mamba (or conda)#
xeus-python
has been packaged for the mamba (or conda) package manager.
To ensure that the installation works, it is preferable to install xeus-python
in a fresh environment.
It is also needed to use a miniforge or 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
mamba create -n xeus-python
source activate xeus-python
Then you can install in this freshly created environment xeus-python
and its dependencies
mamba install xeus-python notebook -c conda-forge
or, if you prefer to use JupyterLab
mamba 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/kernels/xpython --sys-prefix
For more information on the jupyter kernelspec
command, please consult the jupyter_client
documentation.