input: Write a python function to split data into features and labels from a pandas DataFrame.
  assert split_features_labels(data, 'customer_reviews', 'Popularity') == (data['customer_reviews'], data['Popularity'])
  assert split_features_labels(pd.DataFrame({'A': [1, 2], 'B': [3, 4]}), 'A', 'B') == (pd.Series([1, 2], name='A'), pd.Series([3, 4], name='B'))
  assert split_features_labels(pd.DataFrame({'X': ['a', 'b'], 'Y': ['c', 'd']}), 'X', 'Y') == (pd.Series(['a', 'b'], name='X'), pd.Series(['c', 'd'], name='Y'))
output: def split_features_labels(df, feature_column, label_column):
      features = df[feature_column]
      labels = df[label_column]
      return features, labels