We will consider quadratic dynamical systems, and go to general quasipolynomial differential equations of the form $$\dot{x_i} = x_i\sum_{j=1}^mA_{ij}\prod_{k=1}^nx_k^{B_{jk}}$$
In one dimension we have $$\dot{x}=ax^2+bx+c$$ or in the notation above $$\dot{x}=x(ax+b+c/x)=x\sum_{j=1}^3A_{j}x^{B_j}.$$ With $A_1=a$, $A_2=b$, $A_3=c$ and $B_1=1$, $B_2=0$, $B_3=-1$.
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import numpy as np
import sympy as sp
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a1,a2,a3=sp.Symbol("a1"),sp.Symbol("a2"),sp.Symbol("a3")
b1,b2,b3=sp.Symbol("b1"),sp.Symbol("b2"),sp.Symbol("b3")
A=np.array([a1,a2,a3])
B=np.array([b1,b2,b3])
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M=np.outer(B,A)
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print M
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