GAMSPy: high-performance optimization in Python Event

Time:

11:00 - 12:00

Date:

2026-11-05 11:06:00

Venue:

Online, see Teams invitation

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Event details

Mathematical programming is a cornerstone of modern operations research and data science, yet practitioners often face a trade-off between the expressive flexibility of languages like Python and the computational speed of dedicated modeling systems. This talk introduces GAMSPy, an algebraic modeling library that combines the syntax and rich ecosystem of Python with the execution engine of the General Algebraic Modeling System (GAMS).

We will explore how GAMSPy offloads model generation and index management to a high-speed execution engine, overcoming traditional Python performance bottlenecks on large-scale instances. Attendees will learn how to formulate and solve optimization problems within standard Python workflows,  while integrating libraries like pandas and numpy. We will discuss how to incorporate machine learning models directly into algebraic constraints and demonstrate how to rapidly convert GAMSPy scripts into interactive end-user web applications using GAMS MIRO. Finally we will highlight key resources available for academic research and teaching.

About the Speaker

My name is Vaibhavnath Jha. VJ for short. I completed my Masters in Operations Research and Business Analytics in 2022 from University of Magdeburg, Germany. And I have been working as an Operations Research Analyst at GAMS since then. I mainly work on Projects and Software Development.