User Guide#
In this user guide, you will find detailed descriptions and examples that describe many common tasks that you can accomplish with punpy.
- Punpy as a standalone package
- Measurement functions
- Monte Carlo and Law of Propagation of Uncertainty methods
- Propagating random and systematic uncertainties
- Propagating uncertainties when measurements are correlated (within input quantity)
- Propagating uncertainties when input quantities are correlated (between different input quantities)
- More advanced punpy input and output
- Multiple measurands
- Different Probability Density Functions
- Handling errors in the measurement function
- Shape of input quanties within the measurement function
- punpy in combination with digital effects tables
- Managing memory and processing speed in punpy