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Numpoly is a generic library for creating, manipulating and evaluating arrays of polynomials based on `numpy.ndarray` objects. - 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 `poly.exponents`, `poly.coefficients`, `poly.indeterminants` etc. - Polynomial derivation through functions like `numpoly.derivative`, `numpoly.gradient`, `numpoly.hessian` etc. - Decompose polynomial sums into vector of addends using `numpoly.decompose` - Variable substitution through `numpoly.call`
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