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Learn how to use schemas to solve common data management challenges in Python through this 29-minute conference talk from PyCon US. Discover practical techniques for creating, maintaining, and leveraging schemas to handle shape-shifting data that causes unexpected pipeline failures. Explore methods for generating test and training data, improving data pipeline reliability, and automating code generation. Master schema-based approaches that will help you build more robust data workflows and eliminate headaches caused by unexpected data changes in your Python projects.
