Python alternative to creating and running argo workflows in the Data Analysis Platform
This is where you should write a short paragraph that describes what your module does, how it does it, and why people should use it.
| What | Where |
|---|---|
| Source | https://github.com/DiamondLightSource/python-interface-to-workflows |
| Docker | docker run ghcr.io/diamondlightsource/python-interface-to-workflows:latest |
| Releases | https://github.com/DiamondLightSource/python-interface-to-workflows/releases |
This is where you should put some images or code snippets that illustrate some relevant examples. If it is a library then you might put some introductory code here:
from python_interface_to_workflows import __version__
print(f"Hello python_interface_to_workflows {__version__}")Or if it is a commandline tool then you might put some example commands here:
python -m python_interface_to_workflows --version
mkdir new_directory_path
cd new_directory_path
git init
git remote add origin {origin ssh}
git branch -M main
cd ..then either:
git clone git@github.com:DiamondLightSource/python-interface-to-workflows.git
copier copy {this_repo's_path} {new_directory_path}or:
copier copy git@github.com:DiamondLightSource/python-copier-template.git new directory pathrebuild in dev container without cache