Bridging MATLAB and Python: Seamless Workflows and Engineering Solutions
Overview
MATLAB and Python are powerful platforms widely used by engineers for data analysis, modeling, and system integration. This session demonstrates how MATLAB’s robust analytics and visualization capabilities can be seamlessly extended and enhanced by integrating with Python’s flexible open-source ecosystem. Attendees will learn practical strategies for interoperability, enabling efficient workflows and scalable solutions across research and production environments.
Highlights
- See how MATLAB can natively call Python libraries and functions, and how Python can interface with MATLAB.
- Explore MathWorks-supported workflows for combining MATLAB analytics with Python models and data pipelines.
- Learn to package MATLAB code as Python libraries for easy integration and sharing.
- Understand strategies for deploying and scaling hybrid MATLAB/Python solutions using MATLAB Production Server.
- Gain actionable insights from real-world examples of MATLAB and Python working together.
About the Presenter
John Gawedzinski
Senior Application Engineer | MathWorks
John is a Senior Application Engineer at MathWorks supporting the medical devices and digital health sector. He received his B.S. in Biomedical Engineering from Boston University and a Ph.D. in Bioengineering from Rice University with a focus in applied optics and medical imaging. Before joining MathWorks, John worked as an Optical Engineer at Spectral AI specializing in multispectral stereo vision systems that use predictive AI algorithms to evaluate wound healing. Prior to his graduate studies, John worked at Epic Systems as a Technical Services Engineer supporting technical customer needs related to electronic health records.
