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I'm currently learning about linear programming in my degree. I'm wondering how this is relevant to anything in data science?

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Whenever you have an optimization problem the first question that you have to ask yourself is.

Can I make it a Linear Programming problem?

For python I normally use Gurobi. Here is a basic example to get started: https://www.gurobi.com/resources/food-manufacture-i/

You can also do Machine Learning with it, that is the hot topic nowadays, but if you can make it a linear programming problem you will achieve optimality.

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