[SciPy-user] lagrange multipliers in python

Hi all, Sorry for the cross-posting. I'm trying to find the minimum of a multivariate function F(x1, x2, ..., xn) subject to multiple constraints G1(x1, x2, ..., xn) = 0, G2(...) = 0, ..., Gm(...) = 0. The conventional way is to construct a dummy function Q, $$Q(X, \Lambda) = F(X) + \lambda_1 G1(X) + \lambda_2 G2(X) + ... + \lambda_m Gm(X)$$ and then calculate the value of X and \Lambda when the gradient of function Q equals 0. I think this is a routine work, so I want to know if there are available functions in python(mainly scipy) to do this? Or maybe there is already a better way in python? I have googled but haven't found helpful pages. Thanks a lot. Xiao Jianfeng