returns = [0.01,-0.02,0.0453,0.002, ....]

am = arch_model(returns, mean = 'Zero', vol='Garch', p=1, o=0, q=1, dist='normal')

GARCH_n= am.fit(update_freq=5, disp = 'off')

omega = GARCH_n.params[0]
alpha = GARCH_n.params[1]
beta = GARCH_n.params[2]