This repository provides a quick tour of packages useful to build dashboards in Python.
The example notebook runs on Jupyter-on-NeSI, using the kernel Python 3.10.5 (gimkl-2022a).
Or, as an alternative, install all dependencies in a Python virtual environment:
python3 -m venv venv
venv/bin/pip install -r requirements
then activate it and start JupyterLab to execute the example notebook:
. venv/bin/activate
jupyter lab
The presentation will follow the Dashboard Tour notebook.
- add a self-contained example of panel + hvplot + xarray + datashader for geoscience, maybe use data from https://carpentries-lab.github.io/python-aos-lesson/