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Industry

All Industries 

Language

Python

Features

 Data Wrangling
High Performance Computing
Big Data, Statistical Computing
Numerical Computing
Data Mining
Text Processing
Machine Learning

Dask is an open source library for natively scaling Python. It builds on existing Python libraries like NumPy, pandas, and scikit-learn to enable scalable computation on large datasets. In addition, Dask provides a general purpose framework to enable advanced users to build their own parallel applications. Dask enables analysts to scale from their multi-core laptop to thousand-node cluster.

Dask is applied across a wide set of applications, just like the full PyData stack itself.  Dask was designed to scale the PyData stack generally and not for a specific application.

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