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
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file algobowl-2024.10.7.0.tar.gz
.
File metadata
- Download URL: algobowl-2024.10.7.0.tar.gz
- Upload date:
- Size: 50.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | b20775a1f733930cfe7ab8c2beccb925569871bffa5b8b52ce3b7446fc49f7ad |
|
MD5 | e8165ad7810fc26ac4ab2a704b095379 |
|
BLAKE2b-256 | bbe22957fcdba43d2ee34f43877d84e173da69a23b61e3257a3b82f4e1722fac |
File details
Details for the file algobowl-2024.10.7.0-py3-none-any.whl
.
File metadata
- Download URL: algobowl-2024.10.7.0-py3-none-any.whl
- Upload date:
- Size: 68.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: twine/5.1.1 CPython/3.12.7
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2e74dcb08348565c1e5f635dd727318e9b3d148d27bffa3cca5b7b61f1841104 |
|
MD5 | a3888244391d7a3dec7be71091740e4c |
|
BLAKE2b-256 | bb022f0fc83d93a7bab907dfe671f9a860ee240cd38f02ca952671d52aad1a67 |