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  <summary>Polynomials as a numpy datatype</summary>
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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
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- Polynomial derivation through functions like `numpoly.derivative`,
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- Decompose polynomial sums into vector of addends using
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- Variable substitution through `numpoly.call`</description>
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  <description>
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
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- Vectorized polynomial evaluation
- Support for arbitrary number of dimensions
- Native support for lots of `numpy.&lt;name&gt;` functions using numpy’s
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- Support for polynomial division through the operators `/`, `%` and
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- Extra polynomial specific attributes exposed on the polynomial
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- Polynomial derivation through functions like `numpoly.derivative`,
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- Decompose polynomial sums into vector of addends using
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- Variable substitution through `numpoly.call`</description>
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