MLOps & Infrastructure
Dask is an open-source parallel computing library for Python that scales NumPy, Pandas, and Scikit-learn workflows to multi-core machines and distributed clusters. It provides DataFrame, Array, and Bag data structures that mimic familiar APIs, and supports task scheduling, lazy evaluation, and out-of-core computation. Dask is designed for scaling Python data science to larger-than-memory datasets.
Use cases
Deployment options
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