Solving nth degree simultaneous equations

[hegdep]

I am completely new to Python and just figuring my way around the language. However, I was wondering if there was a way of solving 'n'th degree simultaneous equation using Python.

For example:
If S=Skwedness from a known data set and K=Kurtosis from a known data set:

1=B²+2C²+6BD+15D²
S=8C³+B²C+72BCD+270CD²
K=3B**4+60B²C²+60C**4+936BC²D+630B²D²+3780BD³+10395*(D**4)-3

What would be the easiest way of solving equations of this nature on Python?

[sparkz_alot]

Simply convert to a Python formula? For example  1=B²+2C²+6BD+15D² becomes I = B**2 + 2 * C**2 + 6 * B * D +15 * D**2 . Keeping in mind Pythons Operator Precedence, which may require one or more layers of parenthesis.

[hegdep]

Simply convert to a Python formula? For example  1=B²+2C²+6BD+15D² becomes I = B**2 + 2 * C**2 + 6 * B * D +15 * D**2 . Keeping in mind Pythons Operator Precedence, which may require one or more layers of parenthesis.

[inline]from scipy.optimize import fsolve
import math

def equations(p):
b, c, d = p
return (b**2 +2 * c**2 + 6 * b * d + 15 * d**2-1, 8 * c**3 +6 b**2 * c +72 * b *c * d +270 * c * d**2-0.09313246, 3 * b**4+ 60 * b**2 * c**2+ 60 * c**4+ 60 * b**3 * d+ 936 * b * c**2 * d+ 630 * b**2 * d**2+ 4500 * c**2 * d**2+ 3780 * b * d**3+ 10395 * d**4-3-3.058328)

b, c, d = fsolve(equations, (1, 1, 1))

print equations((b, c,d))[/inline]

I tried the following code, using fsolve from numpy. However, it still says that I have a syntax error.

[nilamo]

It's ok, we'll wait for you to share the error :)