The goal of this libray is provide a set of tools to help you to learn Artificial Intelligence.
To avoid any configuration problems, we recommend creating a virtual environment with python:
python3 -m virtualenv venv
source venv/bin/activate
python -m pip install --upgrade pip
pip install -r requirements.txt
To quit the virtual environment, type deactivate
. If you already have the virtual environment configured then type source venv/bin/activate
.
Execute:
pytest
You can also run the tests using the VSCode. Just open the tests
folder and click on the Run All Tests
button.
If you need to upgrade the package, please follow these steps:
- change what you need in the code;
- test it 😄 ;
- describe what you did in the Changelog.md file;
- change the
setup.py
file. In special, theversion
attribute; - commit and push the changes on
main
branch; - then do the same on the
stable
branch;
We have two workflows in the GitHub Actions:
- to publish the package in the PyPI when you push something in the
stable
branch. This workflow does the same as:
python setup.py sdist
twine upload dist/*
- to publish the website (documentation) in the GitHub Pages.
pip install aigyminsper
The change log of this library is in the Changelog.md file.
The documentation of this library is in the docs folder. We are using MkDocs to generate the documentation.
To see the documentation in your local machine, please type:
mkdocs serve
To deploy a new version of the documentation, please merge the content in the stable branch:
git checkout stable
git merge main
git push
There is a GitHub Action that will deploy the documentation in the GitHub Pages.
- Fork the Project
- Create your Feature Branch (git checkout -b feature/AmazingFeature)
- Commit your Changes (git commit -m 'Add some AmazingFeature)
- Push to the Branch (git push origin feature/AmazingFeature)
- Open a Pull Request