Gurobi Jupyter Notebook Modeling Examples are mathematical optimization models coded using the Gurobi Python API and implemented with Jupyter Notebooks.
These Jupyter Notebook Modeling Examples:
- Teach you how to build mathematical optimization models of real-world business, engineering, or scientific problem using Python.
- Illustrate the broad applicability of mathematical optimization across various industries.
- Explain the important features of the Gurobi Python API modeling objects such as adding decision variables, constraints, and an objective function, and building linear expressions.
Visit Introduction to Gurobi Jupyter Notebook Modeling Examples for more information.