# Polynomials¶

Polynomials in NumPy can be *created*, *manipulated*, and even *fitted* using
the convenience 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 `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.

- Using the Convenience Classes
- Power Series (
`numpy.polynomial.polynomial`

) - Chebyshev Series (
`numpy.polynomial.chebyshev`

) - Hermite Series, “Physicists” (
`numpy.polynomial.hermite`

) - HermiteE Series, “Probabilists” (
`numpy.polynomial.hermite_e`

) - Laguerre Series (
`numpy.polynomial.laguerre`

) - Legendre Series (
`numpy.polynomial.legendre`

) - Polyutils