NumPy vs JAX
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NumPy is the foundational Python array library. JAX is the NumPy-compatible accelerator library with autograd. NumPy wins for the ecosystem; JAX wins for GPU/TPU acceleration and functional transforms. Pick NumPy for CPU-bound classical work; pick JAX for ML research.
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