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Scientific Python

For Telecommunications and Computational Imaging

From rusty Python fundamentals to GPU-accelerated solvers and large language models. The practical toolkit for implementing everything in Books 1 and 2.

52 chapters427 sections122+ hours of content

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Python Language Deep DiveScientific Computing with NumPy and SciPyGPU Computing: CuPy and PyTorch TensorsVisualization and Data PresentationSignal Processing and Communications in PythonDeep Learning with PyTorchLarge Language Models and Advanced MLInverse Problems and ReconstructionSoftware Engineering for ResearchCapstone ProjectsFuture topics

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