An open source Python library for mathematical optimization
Project description
Copyright (c) 2014-2024 Jérémie DECOCK <jd.jdhp@gmail.com> (www.jdhp.org)
Online documentation: https://jdhp-dev.gitlab.io/ealib
Source code: https://gitlab.com/ealib
Issue tracker: https://gitlab.com/jdhp-dev/ealib/issues
Pytest code coverage: https://jdhp-dev.gitlab.io/ealib/htmlcov/index.html
PyEALib on PyPI: https://pypi.org/project/ealib
Description
An open source Python library for mathematical optimization
Note:
This project is still in beta stage, so the API is not finalized yet.
Dependencies
PyEALib requires Python 3.11 (or newer) and Python packages listed in the requirements.txt file.
Installation (development environment)
Posix (Linux, MacOSX, WSL, …)
From the PyEALib source code:
conda deactivate # Only if you use Anaconda... python3 -m venv env source env/bin/activate python3 -m pip install --upgrade pip python3 -m pip install -r requirements-dev.txt
Windows
From the PyEALib source code:
conda deactivate # Only if you use Anaconda... python3 -m venv env env\Scripts\activate.bat python3 -m pip install --upgrade pip python3 -m pip install -r requirements-dev.txt
Installation (production environment)
pip install ealib
Documentation
Online documentation: https://jdhp-dev.gitlab.io/ealib
API documentation: https://jdhp-dev.gitlab.io/ealib/api.html
Build and run the Python Docker image
Build the docker image
From the PyEALib source code:
docker build -t ealib:latest .
Run unit tests from the docker container
From the PyEALib source code:
docker run ealib pytest
Run an example from the docker container
From the PyEALib source code:
docker run ealib python3 /app/examples/hello.py
Bug reports
To search for bugs or report them, please use the PyEALib Bug Tracker at:
License
This project is provided under the terms and conditions of the MIT License.
Project details
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