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Explore Object-Oriented Programming foundations through a 3-hour tutorial focused on modeling signals and waves as objects. Follow a top-down methodology to create and refine signal representations, starting with fatty objects and progressing to more sophisticated designs using inheritance and delegation. Learn about Python magic methods for implementing processing operations and discover how to implement the Iterator Design Pattern. Throughout the session, emphasis is placed on code explicitness and simplicity, with discussions on the advantages and disadvantages of each implementation. Requires a laptop with Python installed, while a Jupyter notebook instance with numpy and matplotlib is recommended for easy signal visualization and audio playback. Access the comprehensive slide deck for additional reference and support during the learning process.
