Shows how metaflow can be used to orchestrate python programs.
View /tutorials
.
The project comes with a python development environment. To generate it, after checking out the repo run:
chmod +x create_env.sh
Then to generate the environment (or update it to latest version based on state of uv.lock
), run:
./create_env.sh
This will generate a new python virtual env under .venv
directory. You can activate it via:
source .venv/bin/activate
If you are using VSCode, set to use this env via Python: Select Interpreter
command.
See details in tutorials/12-configure-k8-metadata-service
This project has been setup with acme-project-create
, a python code template library.
- Enable GitHub Pages to be published via GitHub Actions
- Create
release
environment for GitHub Actions - Setup auth to PyPI for the GitHub Action implemented in release.yml: Link uv publish doc