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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 get_best(self):
 """Return best fitted distribution and its parameters a dictionary with one key (the distribution name) and its parameters """

        # self.df should be sorted, so then us take the first one as the best
        name = self.df_errors.sort_values('sumsquare_error').iloc[0].name
        params = self.fitted_param[name]
        return {name: params}