Dask is a Python library for parallel and distributed computing, designed to scale analytics workloads from single machines to large clusters. It integrates with familiar tools like NumPy, Pandas, and scikit-learn while enabling execution across cores or nodes with minimal code changes. Dask excels at handling large datasets that don’t fit into memory and is widely used in data science, machine learning, and big data pipelines.
Features
- Scales NumPy, Pandas, and scikit-learn workloads
- Supports parallel, multi-threaded, and distributed execution
- Lazy evaluation and task graphs for performance
- Integrates with existing Python data tools
- Visual diagnostics and dashboards
- Works on laptops or cloud clusters
Project Samples
Categories
Data ScienceLicense
BSD LicenseFollow Dask
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