scikit-surgerybk
Author: Thomas Dowrick
scikit-surgerybk is a Python library for interfacing with BK ultrasound machines, and is part of the SciKit-Surgery software project, developed at the Wellcome EPSRC Centre for Interventional and Surgical Sciences, part of University College London (UCL).
scikit-surgerybk supports Python 2.7 and Python 3.6/3.7/3.8.
Developing
Cloning
You can clone the repository using the following command:
git clone https://github.com/SciKit-Surgery/scikit-surgerybk
Running tests
Pytest is used for running unit tests:
pip install pytest python -m pytest
Linting
This code conforms to the PEP8 standard. Pylint can be used to analyse the code:
pip install pylint pylint --rcfile=tests/pylintrc sksurgerybk
Installing
You can pip install directly from the repository as follows:
pip install git+https://github.com/SciKit-Surgery/scikit-surgerybk
Contributing
Please see the contributing guidelines.
Useful links
Licensing and copyright
Copyright 2019 University College London. scikit-surgerybk is released under the BSD-3 license. Please see the license file for details.
Acknowledgements
2 maintainers
Metadata
2 maintainers
Release files for scikit-surgerybk 0.3.5
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Release files / scikit-surgerybk-0.3.5.tar.gz
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