​About GAMS

GAMS (General Algebraic Modeling System) is a high-level modeling system for mathematical optimization, designed for modeling and solving linear, nonlinear, and mixed-integer optimization problems. It allows users to translate real-world optimization problems into computer code using a concise, human-readable algebraic language. 

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About the webinar

Join the GAMS team for an exclusive academic webinar designed to empower your research, teaching, and learning with GAMSPy, our powerful Python package. Discover how GAMSPy brings the robust GAMS modeling language into the familiar Python ecosystem, allowing you to formulate complex optimization problems with ease and clarity.

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In this session, we will guide you from theory to application with a live, hands-on demonstration. You will learn how to build a complete optimization model from scratch, explore and easy, interactive Streamlit web application for visualization, and get practical tips for connecting your optimization workflows with machine learning techniques.

What you will learn:

• An introduction to the GAMSPy syntax and environment.

• Live Demo: Building a complete optimization model in Python.

• Exploration of an interactive dashboard for your model using Streamlit.

• Practical tips for integrating machine learning with mathematical optimization.

• An overview of the GAMS Academic Program, including free licenses and resources available to students and researchers.

The webinar will conclude with a live Q&A session with our optimization experts. So, if you're working on your thesis, conducting advanced research, or teaching a course, this webinar will equip you with new tools to tackle your most challenging problems!

​​​Duration: 60 minutes
Language of instruction: English

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Bridging Optimization, Python, and Data Science with GAMSPy 

Thursday, October 16, 2025
10.30pm to 11.30pm IST

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