This template contains a GitHub action to automate and scheduling execution of Jupyter notebooks. It only works with conda-environment.
- Upload a single notebook
*.ipynb
file. For instance, you can use the templates by theme (Exploration, Preprocessing, Modelling, Postprocessing) provided by the Environmental Data Science book repository. - Modify the config file with the notebook file name.
- Upload a conda environment.yml file containing the libraries to run the executable notebook.
After the above steps, the GitHub actions will succesfully generate notebook output cells in the render
branch.