Stay tuned for Updates!
Sharpen your skills, broaden your horizons and accelerate your career at Analytics+, where data meets decision-making. Network and swap ideas with the most accomplished professionals in the field of advanced analytics.
Join us April 12 – 14, 2026 at the Gaylord National Resort & Convention Center located in National Harbor, MD and do not miss out on our exiting presentations.
Presented by: Adam Christensen & Steven Dirkse
This showcase offers a glimpse into the world of modeling with GAMSPy – a powerful mathematical optimization package that merges the high-performance GAMS execution system with the flexibility of the Python language. The result is a complete mathematical optimization package that can be deployed anywhere – effortlessly.
Join us to explore GAMSPy’s fundamental functionalities through practical examples. We’ll cover everything from defining sets, parameters, variables, and equations to solving models and retrieving results, all within a familiar Python environment. Beyond the basics, we’ll also provide a glimpse into more advanced Machine Learning features, demonstrating how GAMSPy can streamline complex modeling workflows and enhance your analytical capabilities.
Whether you’re a seasoned GAMS user looking to integrate with Python or a Python user curious about optimization, this workshop will equip you with essential skills needed to get started and demonstrate what is possible with GAMSPy.
Related Domains:
Relevant to:
Presented by: Adam Christensen & Steven Dirkse
This workshop introduces GAMSPy – a powerful mathematical optimization package that merges the high-performance GAMS execution system with the flexibility of the Python language. The result is a complete mathematical optimization package that can be deployed anywhere – effortlessly.
Join us to explore GAMSPy’s fundamental functionalities through practical exercises. We’ll cover everything from defining sets, parameters, variables, and equations to solving models and retrieving results, all within a familiar Python environment. Beyond the basics, we’ll also provide a glimpse into more advanced features, demonstrating how GAMSPy can streamline complex modeling workflows and enhance your analytical capabilities.
A major focus of the session is the intersection of optimization and Machine Learning (ML). We will explore essential GAMSPy ML functionality – such as formulations for neural network layers, activation functions, and regression trees. These tools enable users to implement sophisticated constructs directly within their optimization models, offering flexibility across diverse use cases.
Whether you’re a seasoned GAMS user looking to integrate with Python or a Python user curious about optimization, this workshop will equip you with essential skills needed to get started and demonstrate what is possible with GAMSPy.
