I am working on an school project that calculates an average of numbers and compares it to an actual number, for example:
My data is:

     data = [0,1,2,3,4,5,6,7,8,9]

And my function is:

    def test(number_of_heats, length):
        all_mean_errors = []
        all_means = []
        for heat in range(number_of_heats, len(heats_chem)-length, length):
            train_data = heats_chem[heat:heat+number_of_heats]
            test_data = heats_chem[heat + number_of_heats : heat + number_of_heats + length]
            prediction_mean = mean(train_data)
            all_means.append(prediction_mean)
            mean_error = get_error(prediction_mean, test_data)
            all_mean_errors.append(mean_error)

With number_of_heats being how many elements to calculate a prediction and length being how many of next elements I am trying to predict. Now I am trying to make a function which does this, but also I am able to use more "windows" of elements to make a more accurate prediction, so I am going to use another parameter called window

    def test(number_of_heats, length, windows)
Now for example with parameters `2,1,3`, it should do `0,1,2,3,4,5` calculate mean, check `2,3,4,5` caluclate mean, check `4,5` and calculate mean, than switch to next one and do `2,3,4,5,6,7` mean, `4,5,6,7` mean etc. but for the life of me I am having the hardest time trying to fit it inside another for loop to be able to do this. Could anyone help me please?