Satisfaculty
A python course scheduling optimization tool that uses integer linear programming.
Installation
pip install satisfaculty
For the latest development version:
pip install git+https://github.com/zsunberg/satisfaculty.git
Documentation
See the full documentation for usage, examples, and the objectives guide.
Contributing
See CONTRIBUTING.md.
Acknowledgements
- Melissa Piper for inspiring the schedule visualization with her excellent excel schedules
- Claude Code for assistance with development
1 maintainer
Release files for satisfaculty 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| satisfaculty-0.3.0.tar.gz | 43.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| satisfaculty-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 73.8 kB
Release files / satisfaculty-0.3.0.tar.gz
| Download URL | satisfaculty-0.3.0.tar.gz |
|---|---|
| Size | 43.0 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Transparency logRelease files / satisfaculty-0.3.0-py3-none-any.whl
| Download URL | satisfaculty-0.3.0-py3-none-any.whl |
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| Size | 30.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
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PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
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