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- Added detailed mathematical progression from scalars to higher-order tensors - Enhanced conceptual explanations with real-world ML applications - Improved tensor class design with comprehensive requirements analysis - Added extensive arithmetic operations section with broadcasting and performance considerations - Connected to industry frameworks (PyTorch, TensorFlow, JAX) - Improved learning scaffolding with step-by-step implementation guidance