Numpoly

Numpoly is a generic library for creating, manipulating and evaluating arrays of polynomials based on numpy.ndarray objects.

The documentation consist of the following parts:

• Intuitive interface for users experienced with numpy, as the library provides a high level of compatibility with the numpy.ndarray, including fancy indexing, broadcasting, numpy.dtype, vectorized operations to name a few.

• Computationally fast evaluations of lots of functionality inherent from numpy.

• Vectorized polynomial evaluation.

• Support for arbitrary number of dimensions.

• Native support for lots of numpy.<name> functions using numpy’s compatibility layer (which also exists as numpoly.<name> equivalents).

• Support for polynomial division through the operators /, % and divmod.

• Extra polynomial specific attributes exposed on the polynomial objects like exponents, coefficients, indeterminants etc.

• Polynomial derivation through functions like numpoly.derivative(), numpoly.gradient(), numpoly.hessian() etc.

• Decompose polynomial sums into vector of addends usin numpoly.decompose().

• Variable substitution through numpoly.call().

Installation

Installation should be straight forward from pip:

pip install numpoly

For developer installation, go to the numpoly repository. Otherwise, check out the user guide to see how to use the toolbox.