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Dask

원문: dask

Parallel/distributed computing. Scale pandas/NumPy beyond memory, parallel DataFrames/Arrays, multi-file processing, task graphs, for larger-than-RAM datasets and parallel workflows.

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Dask Overview Dask is a Python library for parallel and distributed computing that enables three critical capabilities: Larger than memory execution on single machines for data exceeding available RAM Parallel processing for improved computational speed across multiple cores Distributed computation supporting terabyte scale datasets across multiple machines Dask scales from laptops (processing ~100 GiB) to clusters (processing ~100 TiB) while maintaining familiar Python APIs. When to Use This Skill This skill should be used when: Process datasets that exceed available RAM Scale pandas or NumPy operations to larger datasets Parallelize computations for performance improvements Process multipl

실행 시 본인 API 키(BYOK)로 동작하며, 모델 비용은 사용자 계정에서 직접 결제됩니다.