Gurobi/modeling-examples — reverse-engineered prompt

Build me a clean collection of Jupyter Notebook examples that teaches people how to use Gurobi for mathematical optimization in Python.

I want it to feel like a practical learning library, not just random notebooks. Include intro, beginner, intermediate, and advanced style examples across real business problems like facility location, supply chains, power generation, routing, scheduling, pricing, portfolio selection, marketing campaigns, workforce planning, and similar optimization use cases.

Each notebook should explain the problem in plain English, show the data, define the decision variables, constraints, and objective, then solve it with the Gurobi Python API and summarize the result in a way a data scientist or analyst can understand. Make the examples self contained where possible, with clear setup instructions and a simple landing page or index so users can browse by topic and difficulty.

Keep the code readable and educational. Look up current Gurobi Python docs online if you need to.