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NumPy Pitfalls: Broadcasting, Integer Overflow, Views vs Copies and NaN Comparisons

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Self-Hosting & Infra intermediate 5 min read $0.01 Updated 2026-10-20

Verified on NumPy 2.2.6: broadcasting a (3,) with a (2,1) array to (2,3), int8 wraparound 100+100 = -56, division by zero giving inf with a warning, slice views, NaN mean versus nanmean, and isclose for floats.

NumPy does exactly what you ask, even when it is wrong: small integer types wrap around, slices change the original, NaN never equals NaN, and shapes broadcast silently. See each case run.

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