dask
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 multiple files efficiently (CSVs, Parquet, JSON, text logs)
- Build custom parallel workflows with task dependencies
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