input: Write a function to compute the moving average of time-series data points given a window size. The function should return a list of moving averages corresponding to each data point in the time series.
  def moving_average(data_points, window):
       moving_average = []
       for index in range(len(data_points)):
         start = 0 if index-window+1 < 0 else index-window+1
         window_data = data_points[start:index+1]
         average = sum(window_data)/len(window_data)
         moving_average.append(average)
   
       return moving_average
  
  assert moving_average([3, 5, 7, 2, 8, 10, 11, 65, 72, 81, 99, 100, 150], 3)==[3.0, 4.0, 5.0, 4.666666666666667, 5.666666666666667, 6.666666666666667, 9.666666666666666, 28.666666666666668, 49.333333333333336, 72.66666666666667, 84.0, 93.33333333333333, 111.33333333333333]
  assert moving_average([1, 2, 3, 4, 5], 2)==[1.0, 1.5, 2.5, 3.5, 4.5]
  assert moving_average([10, 20, 30, 40, 50], 3)==[10.0, 15.0, 20.0, 30.0, 40.0]
  assert moving_average([1, 1, 1, 1, 1], 1)==[1.0, 1.0, 1.0, 1.0, 1.0]
  assert moving_average([], 3)==[]
output: def moving_average(data_points, window):
      moving_average = []
      for index in range(len(data_points)):
          start = 0 if index-window+1 < 0 else index-window+1
          window_data = data_points[start:index+1]
          average = sum(window_data)/len(window_data)
          moving_average.append(average)
      
      return moving_average