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Documentation: https://john-james-ai.github.io/studioai
Source Code: https://github.com/john-james-ai/studioai
PyPI: https://pypi.org/project/studioai/
Atelier for Artificial Intelligence and Data Science
pip install studioai
poetry install
poetry shell
pytest
The documentation is automatically generated from the content of the docs directory and from the docstrings of the public signatures of the source code. The documentation is updated and published as a Github project page automatically as part each release.
Trigger the Draft release workflow (press Run workflow). This will update the changelog & version and create a GitHub release which is in Draft state.
Find the draft release from the GitHub releases and publish it. When a release is published, it'll trigger release workflow which creates PyPI release and deploys updated documentation.
Pre-commit hooks run all the auto-formatters (e.g. black
, isort
), linters (e.g. mypy
, flake8
), and other quality
checks to make sure the changeset is in good shape before a commit/push happens.
You can install the hooks with (runs for each commit):
pre-commit install
Or if you want them to run only for each push:
pre-commit install -t pre-push
Or if you want e.g. want to run all checks manually for all files:
pre-commit run --all-files
This project was generated using the wolt-python-package-cookiecutter template.
FAQs
Atelier for Artificial Intelligence and Data Science
We found that studioai demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
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