PyDMD - A Python Package for Dynamic Mode Decomposition

Learn to apply Dynamic Mode Decomposition (DMD) for data-driven mathematical modeling using the PyDMD Python package in this comprehensive 55-minute tutorial. Explore the theoretical foundations of DMD algorithm and discover why data-driven modeling techniques are essential for scientists and engineers. Master the practical implementation of PyDMD through hands-on coding demonstrations that cover installation, synthetic dataset creation, model building and fitting, and interpretation of core model attributes. Develop skills in data reconstruction, model summary plotting, and construction of complex PyDMD models while working with noisy synthetic data. Gain the ability to extract system diagnostics, create reconstructions and predictions, and derive governing equations from snapshot data using this powerful decomposition technique.