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improve why QP section
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@@ -113,6 +113,10 @@ Standard double precision (float64) provides approximately 15-16 significant dec
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- **Financial Calculations**: High-precision arithmetic for regulatory compliance
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- **Validation**: Checking accuracy of lower-precision implementations
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Additionally, NumPy's existing `np.longdouble` suffers from cross-platform inconsistency, it's 64-bit on Windows and macOS, 80-bit on Linux x86, and varies on other architectures. NumPy QuadDType solves this by providing **true IEEE 754 quadruple precision (128-bit)** consistently across all platforms.
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For more details on the motivation and technical implementation, see the [Quansight Labs blog post](https://labs.quansight.org/blog/numpy-quaddtype-blog).
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```{toctree}
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:maxdepth: 2
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:hidden:

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