1. Topics/


Dask.distributed is a lightweight library for distributed computing in Python. It extends both the concurrent.futures and dask APIs to moderate sized clusters.

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Setting up, configuring and deploying Dask Distributed

1716 words ·
9 mins
A collection of tips and tricks for setting up, configuring and deploying dask.distributed in Python projects. Most of topics covered focus on single tenant access pattern, where potentially multiple instances of the same application or a project submit tasks directly to Dask’s scheduler.