input: Write a python function to detect outliers in a list of data using z-score with a threshold of 3.
  assert detect_outliers([10, 12, 12, 13, 12, 100, 12, 12, 13])==[100]
  assert detect_outliers([1, 2, 2, 3, 2, 1, 10, 2, 2, 2])==[10]
  assert detect_outliers([1, 1, 1, 1, 1, 1, 1, 1, 1, 1])==[]
output: def detect_outliers(data):
      import numpy as np
      
      mean = np.mean(data)
      std = np.std(data)
      
      outliers = []
      for point in data:
          z_score = (point - mean) / std
          if abs(z_score) > 3:
              outliers.append(point)
      
      return outliers