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Apply best practices
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@@ -14,9 +14,9 @@ Dask is a Python library for parallel and distributed computing that enables thr
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Dask scales from laptops (processing ~100 GiB) to clusters (processing ~100 TiB) while maintaining familiar Python APIs.
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## When to Use Dask
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## When to Use This Skill
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Apply this skill when users need to:
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This skill should be used when:
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- Process datasets that exceed available RAM
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- Scale pandas or NumPy operations to larger datasets
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- Parallelize computations for performance improvements
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