Exploring uncertainty calculation and testing examples in the official GUM (Guide to the expression of uncertainty in measurement) document (https://doi.org/10.59161/JCGM100-2008E) using Python, particularly the uncertainties package.
Packages installed (you may change mamba to conda):
mamba install -c conda-forge jupyterlab numpy matplotlib scienceplots watermark ipympl uncertainties scipy
Alternatively, use the provided yml file and change the ENV_NAME to your desire, e.g. gum:
mamba env create -n ENV_NAME -f environment.yml
An html export of the notebook is provdided for quick inspection in a browser/mobile.