Dask.distributed Dask.distributed 1.15.026.g228f7bb documentation
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Dask is a flexible parallel computing library for analytic computing. Airflow, Luigi, Celery, or Make. But optimized for interactive computational workloads. Like parallel arrays, dataframes, and lists that extend common interfaces like. NumPy, Pandas, or Python iterators. To larger-than-memory or distributed environments. These parallel collections run on top of the dynamic task schedulers.
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Dask.distributed Dask.distributed 1.15.026.g228f7bb documentationDESCRIPTION
Data Streams with Queues. Shared Futures With Channels. Launch Tasks from Tasks. Journey of a Task. Daskdistributed is a lightweight library for distributed computing in Python. It extends both the. APIs to moderate sized clusters. Serves to complement the existing PyData analysis stack. In particular it meets the following needs. Each task suffers about 1ms of overhead. A small computation and network roundtrip can complete in less than 10ms. Compatible with the concurrent.futures. On your own cluster.CONTENT
This web site had the following in the homepage, "Daskdistributed is a lightweight library for distributed computing in Python." Our analyzers noticed that the web page stated " APIs to moderate sized clusters." The Website also said " Serves to complement the existing PyData analysis stack. In particular it meets the following needs. Each task suffers about 1ms of overhead. A small computation and network roundtrip can complete in less than 10ms."SIMILAR WEB SITES
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