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Tutorials

This section presents a collection of Jupyter Notebook tutorials that demonstrate how to use EasyScience for various tasks. These tutorials serve as self-contained, step-by-step guides to help users grasp the workflow of data analysis using EasyScience.

Instructions on how to run the tutorials are provided in the Installation & Setup section of the documentation.

The tutorials are organized into the following categories:

Workshops & Schools

  • Fitting QENS – A tutorial demonstrating how to fit a quasielastic neutron scattering (QENS) data using EasyScience framework.
  • Fitting SANS – A tutorial demonstrating how to fit a small-angle neutron scattering (SANS) data using EasyScience framework.
  • Bayesian analysis – A tutorial showing how to run Bayesian MCMC sampling on a model with EasyScience to obtain full posterior distributions for the parameters.
  • Progress Callback – A tutorial showing how to monitor fitting progress across minimizer backends and update a notebook UI while a fit is running.