Registration Header


Title: How to Create Mathematical Optimization Models with Python

Date: 4/29/2020

Time: 9:00 AM PDT

Duration: 60 minutes


With mathematical optimization, companies can capture the key features of their business problems in an optimization model and can generate optimal solutions (which are used as the basis to make optimal decisions). Data scientists with some basic mathematical programming skills can easily learn how to build, implement, and maintain mathematical optimization applications.

The Gurobi Python API borrows ideas from modeling languages, enabling users to deploy and solve mathematical optimization models with scripts that are easy to write, read, and maintain. Such modules can even be embedded in decision support systems for production-ready applications.

In this latest Data Science Central webinar, we will:
  • Discuss the motivation for using Python in mathematical optimization applications
  • Help you understand the importance of parameterizing a mathematical optimization model
  • Review some of the best practices for deploying mathematical optimization models in Python

Juan Orozco Guzman, Optimization Support Engineer- Gurobi Optimization

Hosted by:
Sean Welch, Host and Producer - Data Science Central

If you're already registered for the How to Create Mathematical Optimization Models with Python webinar, click below:


Register Now
First Name
Last Name
Email Address
Job Title
Work Phone
I agree to TechTarget’s Terms of Use, Privacy Policy, and the transfer of my information to the United States for processing to provide me with relevant information as described in our Privacy Policy.
I agree to my information being processed by TechTarget and its Partners to contact me via phone, email, or other means regarding information relevant to my professional interests. I may unsubscribe at any time.