four_dice = np.zeros(Lpow(6,4),5]) n = 0 outcomes = [1,2,3,4,5,6] for i in outcomes: for j in outcomes: for k in outcomes: for l in outcomes: four_dice[n, :] = [i,j,k,1,i+j+k+l] n +=1 four_dice_df = pd.DataFrame(four_dice,columns-('Dice 1','Dice 2','Dice 3','Dice 4','Total'))

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Time Complexity

In computer science, the computational complexity that is measured in terms of time is referred to as time complexity that defines how long it takes a computer to execute an algorithm. An algorithm's time complexity is measured by the the amount of time required to execute each statement of code in the algorithm. If a statement is set to execute repetitively, the number of times it will be N multiplied by the time it takes to run that function each time is equal .