The documentation and examples for using odeint with more than 4 dimensions or complicated functions are really rather sparse. A working implementation for 5 (independent) Voltera-Lotka systems with a total dimension of 10 could look like this:
from scipy import zeros_like
from scipy.integrate import odeint
from pylab import * # for plotting commands
def deriv(y,t): # return derivatives of the array y
a = 2.0
b = 0.5 #0.1
c = 0.1
doty = zeros_like(y)
for i in range(0,5):
j=2*i # this has no deep reason
k=2*i+1 # just keeps notation short
doty[j] = y[j]*a*(1-y[j]/10)-b*y[j]*y[k]
doty[k] = b*y[j]*y[k]-c*y[k]
return doty
time = linspace(0,500,1000)
yinit = linspace(1,1,10)
y = odeint(deriv,yinit,time)
figure()
plot(time,y[:,0],time,y[:,1],time,y[:,5],time,y[:,8])
xlabel('t')
ylabel('y')
show()