Join us as we guide you through integrating Gurobi and prescriptive analytics into your greater Python ecosystem. We’ll demonstrate model-building patterns based on NumPy and SciPy.sparse data structures and explore how to take advantage of indexed DataFrames and Series in pandas for mathematical model building. You’ll also discover how to use trained regressors from scikit-learn as constraints in optimization models. Join us as we delve into the world of optimization with Gurobi and elevate your workflows.

Robert Luce

Affiliation: Gurobi Optimization

Dr. Luce is an experienced researcher in applied mathematics, and author of numerous publications in the fields of numerical linear algebra and optimization. He holds a Ph.D. from Technical University of Berlin.