Requirements:
- Python 3.8 or up
- Create a virtual environment using this guide.
- The
jupyterlabpython package - The
desdeopython package
Troubleshooting:
- When using a virtual environment, you might need to create a custom kernel for
jupyterlab to use. To do so, you can use the following command:
python -m ipykernel install --user --name nameofkernel. You can replacenameofkernelwith whatever you want to name your custom kernel. This name will be displayed when selecting a kernel in jupyterlab. - If everything else fails, you can run the notebooks in binder by clicking the Binder badge at the top of this README or by following this link. Note that using binder is significantly slower than running the notebooks locally.