n't do anything reasonable).
>
> Chebyshev.literal(lambda T: 1*T[0] + 2*T[1] + 3*T[2])
>
> Would work, but honestly I don't think that provides much clarity. I think
> the value here is mainly for "simple" polynomials.
>
> On Sun, 1 Jul 2018 at 23:42 Maxwell Aifer
Interesting, I wasn't aware that both conventions were widely used.
Speaking of series with inverse powers (i.e. Laurent series), I wonder how
useful it would be to create a class to represent expressions with integral
powers from -m to n. These come up in my work sometimes, and I usually
plaining the difference, and
> pointing users to the more sensible `np.polynomial.Polynomial`
>
> Eric
>
>
>
> On Fri, 29 Jun 2018 at 20:10 Charles R Harris
> wrote:
>
>> On Fri, Jun 29, 2018 at 8:21 PM, Maxwell Aifer
>> wrote:
>>
>>> Hi,
>>
Hi,
I noticed some frustrating inconsistencies in the various ways to evaluate
polynomials using numpy. Numpy has three ways of evaluating polynomials
(that I know of) and each of them has a different syntax:
-
numpy.polynomial.polynomial.Polynomial
