Awesome
xeus-python
is a Jupyter kernel for Python based on the native implementation of the Jupyter protocol xeus.
Installation
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
Installing from conda-forge
Then you can install in this environment xeus-python
and its dependencies
mamba install xeus-python notebook -c conda-forge
Installing from PyPI
Depending on the platform, PyPI wheels may be available for xeus-python.
pip install xeus-python notebook
If you encounter the following error message
Collecting xeus-python
Cache entry deserialization failed, entry ignored
Could not find a version that satisfies the requirement xeus-python (from versions: )
No matching distribution found for xeus-python
you probably need to upgrade pip: pip install --upgrade pip
before attempting to install
xeus-python
again.
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.
Installing from source
Or you can install it from the sources, you will first need to install dependencies
mamba install cmake xeus xeus-zmq nlohmann_json pybind11 pybind11_json xeus-python-shell jupyterlab -c conda-forge
Then you can compile the sources (replace $CONDA_PREFIX
with a custom installation prefix if need be)
mkdir build && cd build
cmake .. -D CMAKE_PREFIX_PATH=$CONDA_PREFIX -D CMAKE_INSTALL_PREFIX=$CONDA_PREFIX -D CMAKE_INSTALL_LIBDIR=lib -D PYTHON_EXECUTABLE=`which python`
make && make install
Trying it online
To try out xeus-python interactively in your web browser, just click on the binder link:
Usage
Launch the Jupyter notebook with jupyter notebook
or Jupyter lab with jupyter lab
and launch a new Python notebook by selecting the xpython kernel.
Raw mode
You can run xeus-python in the "raw" mode by selecting the XPython Raw
kernel. In this mode:
- IPython is not used: IPython magics are not available
- Jupyter console is not supported
but
- xeus-python starts faster
- Completion/Inspection/Code execution works faster
- Interactive widgets are supported
This is useful when using xeus-python in Voila, where you should see a ~15% performance improvement, reducing the load of your application.
xeus-python in JupyterLite!
You can install xeus-python in JupyterLite, see https://github.com/jupyterlite/xeus for more information.
Code execution and variable display:
Output streams:
Input streams:
Error handling:
Inspect:
Code completion:
Rich display:
And of course widgets:
Documentation
To get started with using xeus-python
, check out the full documentation
http://xeus-python.readthedocs.io
What are the advantages of using xeus-python over ipykernel (IPython kernel)?
Check-out this blog post for the answer: https://blog.jupyter.org/a-new-python-kernel-for-jupyter-fcdf211e30a8. Long story short:
- xeus-python is a lot lighter than ipykernel, which makes it a lot easier to implement new features on top of it.
- xeus-python already works with the Jupyter Lab debugger: https://github.com/jupyterlab/debugger
- xeus-based kernels are more versatile in that one can overload e.g. the concurrency model. This is something that Kitware’s SlicerJupyter project takes advantage of to integrate with the Qt event loop of their Qt-based desktop application.
Dependencies
xeus-python
depends on
xeus-python | xeus-zmq | nlohmann_json | pybind11 | pybind11_json | pygments | debugpy | xeus-python-shell |
---|---|---|---|---|---|---|---|
main | >=3.1,<4.0 | >=3.11.3 | >=2.6.1,<3.0 | >=0.2.8,<0.3 | >=2.3.1,<3.0.0 | >=1.1.0 | >=0.6.3.0,<0.7.0 |
0.17.1 | >=3.1,<4.0 | >=3.11.3 | >=2.6.1,<3.0 | >=0.2.8,<0.3 | >=2.3.1,<3.0.0 | >=1.1.0 | >=0.6.3.0,<0.7.0 |
0.17.0 | >=3.0,<4.0 | >=3.11.3 | >=2.6.1,<3.0 | >=0.2.8,<0.3 | >=2.3.1,<3.0.0 | >=1.1.0 | >=0.6.3.0,<0.7.0 |
Prior vo version 0.17, xeus-python
was also depending on xtl & cppzmq:
xeus-python | xeus-zmq | xtl | cppzmq | nlohmann_json | pybind11 | pybind11_json | pygments | debugpy | xeus-python-shell |
---|---|---|---|---|---|---|---|---|---|
0.16.x | >=1.0.0,<2.0 | >=0.7.0,<0.8 | ~4.4.1 | >=3.6.1,<3.10 | >=2.6.1,<3.0 | >=0.2.8,<0.3 | >=2.3.1,<3.0.0 | >=1.1.0 | >=0.5.0,<0.7.0 |
0.15.x | >=1.0.0,<2.0 | >=0.7.0,<0.8 | ~4.4.1 | >=3.6.1,<3.10 | >=2.6.1,<3.0 | >=0.2.8,<0.3 | >=2.3.1,<3.0.0 | >=1.1.0 | >=0.5.0,<0.7.0 |
Prior to version 0.15, xeus-python
was depending on xeus
instead of xeus-zmq
:
xeus-python | xeus | xtl | cppzmq | nlohmann_json | pybind11 | pybind11_json | pygments | debugpy | xeus-python-shell |
---|---|---|---|---|---|---|---|---|---|
0.14.3 | >=2.0.0,<3.0 | >=0.7.0,<0.8 | ~4.4.1 | >=3.6.1,<3.10 | >=2.6.1,<3.0 | >=0.2.8,<0.3 | >=2.3.1,<3.0.0 | >=1.1.0 | >=0.5.0,<0.6.0 |
0.14.2 | >=2.0.0,<3.0 | >=0.7.0,<0.8 | ~4.4.1 | >=3.6.1,<3.10 | >=2.6.1,<3.0 | >=0.2.8,<0.3 | >=2.3.1,<3.0.0 | >=1.1.0 | >=0.4.1,<0.5.0 |
0.14.1 | >=2.0.0,<3.0 | >=0.7.0,<0.8 | ~4.4.1 | >=3.6.1,<3.10 | >=2.6.1,<3.0 | >=0.2.8,<0.3 | >=2.3.1,<3.0.0 | >=1.1.0 | >=0.4.1,<0.5.0 |
0.14.0 | >=2.0.0,<3.0 | >=0.7.0,<0.8 | ~4.4.1 | >=3.6.1,<3.10 | >=2.6.1,<3.0 | >=0.2.8,<0.3 | >=2.3.1,<3.0.0 | >=1.1.0 | >=0.4.1,<0.5.0 |
0.13.x | >=2.0.0,<3.0 | >=0.7.0,<0.8 | ~4.4.1 | >=3.6.1,<3.10 | >=2.6.1,<3.0 | >=0.2.8,<0.3 | >=2.3.1,<3.0.0 | >=1.1.0 | >=0.3.0,<0.4.0 |
Contributing
See CONTRIBUTING.md to know how to contribute and set up a development environment.
License
We use a shared copyright model that enables all contributors to maintain the copyright on their contributions.
This software is licensed under the BSD-3-Clause license. See the LICENSE file for details.