Dask : the definitive guide /

The exponentially-increasing volume and complexity of data make scalability and reliability increasingly challenging issues. But while modern systems contain multi-core CPUs and GPUs that have the potential for parallel computing, many Python tools weren't designed to leverage this parallelism....

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Bibliographic Details
Main Authors: Rocklin, Matthew (Author), Powers, Matthew (Author), Pelgrim, Richard (Author)
Format: eBook
Language:English
Published: Sebastopol, CA : O'Reilly Media, Inc., 2023.
Edition:[First edition].
Subjects:
Online Access:CONNECT
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Description
Summary:The exponentially-increasing volume and complexity of data make scalability and reliability increasingly challenging issues. But while modern systems contain multi-core CPUs and GPUs that have the potential for parallel computing, many Python tools weren't designed to leverage this parallelism. Using Dask to parallelize Python workflows delivers a competitive advantage by reducing turn-around time, freeing you to work on more interesting or complex data problems.
Item Description:"Early release, raw & unedited."
Physical Description:1 online resource (78 pages) : illustrations
ISBN:9781098117139
1098117131