downstream provides efficient, constant-space algorithms for stream curation
Project description
Downstream
downstream provides efficient, constant-space implementations of stream curation algorithms.
- Free software: MIT license
Installation
To install from PyPi with pip, run
python3 -m pip install downstream
To install the latest release directly from GitHub, run
python3 -m pip install "git+https://github.com/mmore500/downstream.git@v0.4.4#egg=downstream"
Documentation
Slide deck & graphics for this project are at https://hopth.ru/ce.
See https://github.com/mmore500/hstrat-surface-concept
for usage examples.
Citing
If downstream contributes to a scientific publication, please cite it as
Matthew Andres Moreno. (2024). mmore500/downstream. Zenodo. https://zenodo.org/doi/10.5281/zenodo.10866541
@software{moreno2024downstream,
author = {Matthew Andres Moreno},
title = {mmore500/downstream},
month = mar,
year = 2024,
publisher = {Zenodo},
doi = {TODO},
url = {https://zenodo.org/doi/10.5281/zenodo.10866541}
}
And don't forget to leave a star on GitHub!
Credits
This package was created with Cookiecutter and the mmore500/cookiecutter-dishtiny-project project template.
Project details
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