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 asnumpoly.<name>
equivalents).Support for polynomial division through the operators
/
,%
anddivmod
.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.