Welcome to the Effective Quadratures Discourse, a place to discuss the use of Effective Quadratures, and polynomial approximations in general.
Effective Quadratures is an open source Python package for uncertainty quantification, machine learning, optimisation, numerical integration and dimension reduction – all using orthogonal polynomials. It is particularly useful for models / problems where output quantities of interest are smooth and continuous; to this extent it has found widespread applications in computational engineering models (finite elements, computational fluid dynamics, etc).
More information about Effective Quadratures can be found on the website and Github.