Skip to main content

A course scheduling optimization tool using integer linear programming

Project description

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

satisfaculty-0.2.0.tar.gz (17.2 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

satisfaculty-0.2.0-py3-none-any.whl (16.1 kB view details)

Uploaded Python 3

File details

Details for the file satisfaculty-0.2.0.tar.gz.

File metadata

  • Download URL: satisfaculty-0.2.0.tar.gz
  • Upload date:
  • Size: 17.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for satisfaculty-0.2.0.tar.gz
Algorithm Hash digest
SHA256 3ce9f5fc32d37d92fba07c981c892fe6c17d2ab2baec4c4d36c09782466b01a2
MD5 3e588430982a75e9a289e5440f8c1372
BLAKE2b-256 d73b637cb47312e84763d64a83dd3c48cb1868d28c215e9d5cd80099048a27f9

See more details on using hashes here.

Provenance

The following attestation bundles were made for satisfaculty-0.2.0.tar.gz:

Publisher: publish.yml on zsunberg/satisfaculty

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file satisfaculty-0.2.0-py3-none-any.whl.

File metadata

  • Download URL: satisfaculty-0.2.0-py3-none-any.whl
  • Upload date:
  • Size: 16.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for satisfaculty-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 edecb5f19faec635cb2ef97b6f759337a0e7a17c088fe067e1cf918f3341e479
MD5 a2df0799e01dfa73fdb0dc827c0c0260
BLAKE2b-256 06b8ff1b26527436caf20f7927e59b366228925404884f297edc807fd8ee96d0

See more details on using hashes here.

Provenance

The following attestation bundles were made for satisfaculty-0.2.0-py3-none-any.whl:

Publisher: publish.yml on zsunberg/satisfaculty

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page