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GUM Uncertainty Calculation with Python

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.

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Uncertainty calculation according to GUM with Python.

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