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Dask — Dask documentation
Dask provides Python tools for parallel and distributed computing, helping you work with large data and accelerate analytics using familiar workflows.
Scale Python analytics with parallel computing
Dask is a Python framework that lets you scale your data processing and analytics across multiple cores or even entire clusters. It’s designed for people who work with large datasets or want to speed up their Python code without having to learn new tools from scratch.
With Dask, you can use familiar Python libraries and workflows while unlocking the power of parallel and distributed computing. The documentation helps you get started, shows best practices, and guides you through deploying Dask on your own computer, on the cloud, or on high-performance clusters.
Whether you're a data scientist, engineer, or researcher, Dask makes it easier to work with big data and accelerate your computations. You’ll find guides, examples, and community resources to help you integrate Dask into your projects.
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