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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def min_volatility(self):
 """ Minimise volatility. :return: asset weights for the volatility-minimising portfolio :rtype: dict """

        args = (self.cov_matrix, self.gamma)
        result = sco.minimize(
            objective_functions.volatility,
            x0=self.initial_guess,
            args=args,
            method="SLSQP",
            bounds=self.bounds,
            constraints=self.constraints,
        )
        self.weights = result["x"]
        return dict(zip(self.tickers, self.weights))