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36.2 explain the term iso-revenue: all the possible combinations of the two goods that produce the same amount of revenue.
36.2 worth mentioning linear programming vs integer programming, it sounds more elementary but is actually less smooth and is more complex. Comment why we use real numbers rather than integers to produce the graph in this section
36.3.1 mention that it is a five dimensional problem and is very difficult to be represented in a 2d graphical way like the previous section
36.4.1 the dual problem wasn't really fired up in this lecture, can introduce this concept in this section and explain why it is important to look at it
36.5 mention why using SciPy and Google's ortools.linear_solver produces slightly different values (they both work but do it in different ways).
Throughout the lectures the usage of commas in numbers is not very consistent, need to reformate them. Money amounts should be to the nearest cents or just nearest dollars.
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explain why we are using two packages in this lecture, namely SciPy and Google's ortools.linear_solver. (SciPy's tends to be more vectorized)
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