Series of hands-on workshops facilitated by Open Energy Transition (OET) to accompany the development of an open-source energy modeling tool for the TYNDP. With every workshop a new notebook will be added to the repository investigating different functionalities of PyPSA and implementations for the Open-TYNDP workflow.
To follow and explore the series of hands-on workshops, you can visit the deployed workshop page. There, you can also simply launch each notebook in a Google Colab notebook environment by clicking the rocket logo in the top right corner. Alternatively, you can also build and explore the Open-TYNDP Workshops book locally.
All notebooks are currently compatible with PyPSA v1.0.5.
If you'd like to develop and/or build the Open-TYNDP Workshops book locally, you should:
- Clone this repository
- Install the environment by running
conda env create -f environment.yaml - Activate the environment by running
conda activate open-tyndp-workshops - (Optional) Edit the books source files located in the
open-tyndp-workshops/directory - Run
jupyter-book clean open-tyndp-workshops/to remove any existing builds - Run
jupyter-book build open-tyndp-workshops/
A fully-rendered HTML version of the book will be built in open-tyndp-workshops/_build/html/.
Please see the Jupyter Book documentation to discover options for deploying a book online using services such as GitHub, GitLab, or Netlify.
For GitHub and GitLab deployment specifically, the cookiecutter-jupyter-book includes templates for, and information about, optional continuous integration (CI) workflow files to help easily and automatically deploy books online with GitHub or GitLab. For example, if you chose github for the include_ci cookiecutter option, your book template was created with a GitHub actions workflow file that, once pushed to GitHub, automatically renders and pushes your book to the gh-pages branch of your repo and hosts it on GitHub Pages when a push or pull request is made to the main branch.
We welcome and recognize all contributions. You can see a list of current contributors in the contributors tab.
This project is created by forking of Fabian Neumann's excellent open-source course Data Science for Energy System Modelling which uses the open source Jupyter Book project and the executablebooks/cookiecutter-jupyter-book template.