The EasyScience
framework#
EasyScience is a framework of software tools that can be used to build experimental data analysis packages. For example, it has been used in the development of EasyDiffraction and EasyReflectometry. The framework consists of both front- and back-end elements, known as EasyApp and EasyScience, respectively. The front-end provides a shared library of graphical interface elements that can be used to build a graphical user interface. The back-end offers a toolset to perform model-dependent analysis, including the ability to plug-in existing calculation engines.
The focus in this school is on the Python library, easyscience
, which can be used to perform complex model-dependent analysis.
The use of easyscience
to perform Bayesian sampling, using external libraries, will also be introduced.