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.. _routines.polynomial:
Polynomials
***********
Polynomials in NumPy can be *created*, *manipulated*, and even *fitted* using
the :doc:`convenience classes <routines.polynomials.classes>`
of the `numpy.polynomial` package, introduced in NumPy 1.4.
Prior to NumPy 1.4, `numpy.poly1d` was the class of choice and it is still
available in order to maintain backward compatibility.
However, the newer Polynomial package is more complete than `numpy.poly1d`
and its convenience classes are better behaved in the numpy environment.
Therefore :mod:`numpy.polynomial` is recommended for new coding.
Transition notice
-----------------
The various routines in the Polynomial package all deal with
series whose coefficients go from degree zero upward,
which is the *reverse order* of the Poly1d convention.
The easy way to remember this is that indexes
correspond to degree, i.e., coef[i] is the coefficient of the term of
degree i.
.. toctree::
:maxdepth: 1
routines.polynomials.classes
routines.polynomials.polynomial
routines.polynomials.chebyshev
routines.polynomials.hermite
routines.polynomials.hermite_e
routines.polynomials.laguerre
routines.polynomials.legendre
routines.polynomials.polyutils
.. toctree::
:maxdepth: 2
routines.polynomials.poly1d
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