Skip to main content

Competition-based group project for Algorithms courses

Project description

AlgoBOWL

AlgoBOWL is a group project for algorithms courses. Students compete to create heuristics to an NP-hard problem. For more information, see the paper in ITiCSE 2019.

This is the AlgoBOWL web application, as well as associated tools (e.g., command line interface).

Getting Started

The rest of this README assumes you're interested in hacking on the AlgoBOWL code, and want to install the web app locally. For other topics of interest, check out the docs/ directory.

You'll need a system running Linux and Python 3.8+.

Create and activate a virtual environment to install in:

$ python3 -m venv venv
$ . venv/bin/activate

Next, install the app in editable mode::

$ pip install -e ".[dev]"

Next, copy the sample development config and setup the application::

$ cp development.ini.sample development.ini
$ gearbox setup-app

Finally, you can serve the app::

$ gearbox serve --reload --debug

Have fun!

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

algobowl-2024.2.18.4.tar.gz (1.5 MB view details)

Uploaded Source

Built Distribution

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

algobowl-2024.2.18.4-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file algobowl-2024.2.18.4.tar.gz.

File metadata

  • Download URL: algobowl-2024.2.18.4.tar.gz
  • Upload date:
  • Size: 1.5 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for algobowl-2024.2.18.4.tar.gz
Algorithm Hash digest
SHA256 6a7fee1ef0a3d68326f6f298b09eff396476278cb9d2a7ca6e099075c4659812
MD5 b270cb9969a6803c0a1286a224c7a621
BLAKE2b-256 f6e6b2bfa76b4b91667f7d61284bb6c68fa8ff469b64d16dc41bf9149d77a1e1

See more details on using hashes here.

File details

Details for the file algobowl-2024.2.18.4-py3-none-any.whl.

File metadata

  • Download URL: algobowl-2024.2.18.4-py3-none-any.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/4.0.2 CPython/3.11.8

File hashes

Hashes for algobowl-2024.2.18.4-py3-none-any.whl
Algorithm Hash digest
SHA256 7c021db6ff316975590e0a2d97fbacfbd000a7f7eb6d1f43a7c03bca19564a47
MD5 217e11dd131aed66d15a707d6568b70a
BLAKE2b-256 0b2b4711b256cdf86a3a4e4f5536daf7a410ec08836020b63fad636333732fcd

See more details on using hashes here.

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