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-2024.2.17.2.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-2024.2.17.2-py3-none-any.whl (1.5 MB view details)

Uploaded Python 3

File details

Details for the file algobowl-2024.2.17.2.tar.gz.

File metadata

  • Download URL: algobowl-2024.2.17.2.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-2024.2.17.2.tar.gz
Algorithm Hash digest
SHA256 e2eb282d96002a64c71b73e9c0114fe0931563c7d0aea08f1a783258ed39974b
MD5 65c641df6fef0628fa3efc936811f72e
BLAKE2b-256 9fad7664258f9f343f2d9d575f8bde7730927d4f2b75d6bc6c0a1cd7dd2f149c

See more details on using hashes here.

File details

Details for the file algobowl-2024.2.17.2-py3-none-any.whl.

File metadata

  • Download URL: algobowl-2024.2.17.2-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-2024.2.17.2-py3-none-any.whl
Algorithm Hash digest
SHA256 16ca408625ff54801c97905c8f682a749adf95cd2a1be15017bd0118dd905537
MD5 ef38dcd161b54d637d11c9bbc9a5c256
BLAKE2b-256 b6d4401d242a8b2cd8a536c16226567746aaa8e5cf39bb9355920f80bdef28a1

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