code: def euclideanDistance(instance1, instance2, considerDimensions):
    
    distance = 0
    for x in considerDimensions:
      distance += pow((instance1[x] - instance2[x]), 2)
    return math.sqrt(distance)
docs: Calculate Euclidean Distance between two samples
    Example use:
    data1 = [2, 2, 2, 'class_a']
    data2 = [4, 4, 4, 'class_b']
    distance = euclideanDistance(data1, data2, 3)
  
    :param instance1: list of attributes
    :param instance2: list of attributes
    :param considerDimensions: a list of dimensions to consider
    :return: float euclidean distance between data1 & 2