Installation
The recommended way to install the unitpackage is to use your package manager,
(e.g., apt-get
on Debian or Ubuntu, pacman
on Arch Linux, brew
on macOS.)
You can consult repology to see if the unitpackage is available for your package manager.
Alternatively, the unitpackage can be installed by one of the following approaches.
Install with pip from PyPI
The latest stable version of the unitpackage is available on PyPI for all platforms and can be installed if you have Python and pip installed already:
pip install unitpackage
This command downloads and installs the unitpackage and its dependencies into your local Python installation.
If the above command fails because you do not have permission to modify your Python installation, you can install the unitpackage into your user account:
pip install --user unitpackage
You can instead also install the latest unreleased version of the unitpackage from our GitHub Repository with
pip install git+https://github.com/echemdb/unitpackage@main
Install with conda from conda-forge
The unitpackage is available on conda-forge for all platforms.
If you don’t have conda yet, we recommend to install Miniforge.
Miniforge is already pre-configured for conda-forge. If you already had another release of conda installed, make sure the conda-forge channel is configured correctly
Once your conda setup is ready, create a new unitpackage
environment with
the latest stable version of the unitpackage:
conda create -n unitpackage unitpackage
To use the unitpackage, activate the unitpackage
environment:
conda activate unitpackage
To install the unitpackage into an existing environment, activate that environment and then
conda install unitpackage
Install with pixi for development
We recommend pixi for developers of unitpackage to use a curated list of dependencies that are tested to work on all platforms. These are also exactly the dependencies that are used in our CI, which makes it easier to test things locally.
Once you installed pixi itself, get a copy of the latest unitpackage
git clone https://github.com/echemdb/unitpackage.git
Once you made some changes, you can run the test suite with
pixi run test
or run the linters
pixi run lint
or rebuild the documentation
pixi run doc
You can also explore unitpackage in an interactive session by launching an IPython session
pixi run -e dev ipython
or a Jupyter notebook
pixi run -e dev jupyter lab
Note that any changes you make to the files in your local copy of unitpackage should be immediately available when you restart your Python kernel.
We would love to see your contribution to unitpackage.