Scaling Python with Dask Book Reviews

AUTHOR
Holden Karau & Mika Kimmins
SCORE
0
TOTAL RATINGS
50

Scaling Python with Dask by Holden Karau & Mika Kimmins Book Summary

Modern systems contain multi-core CPUs and GPUs that have the potential for parallel computing. But many scientific Python tools were not designed to leverage this parallelism. With this short but thorough resource, data scientists and Python programmers will learn how the Dask open source library for parallel computing provides APIs that make it easy to parallelize PyData libraries including NumPy, pandas, and scikit-learn.

Authors Holden Karau and Mika Kimmins show you how to use Dask computations in local systems and then scale to the cloud for heavier workloads. This practical book explains why Dask is popular among industry experts and academics and is used by organizations that include Walmart, Capital One, Harvard Medical School, and NASA.

With this book, you'll learn:
What Dask is, where you can use it, and how it compares with other toolsHow to use Dask for batch data parallel processingKey distributed system concepts for working with DaskMethods for using Dask with higher-level APIs and building blocksHow to work with integrated libraries such as scikit-learn, pandas, and PyTorchHow to use Dask with GPUs

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Book Name Scaling Python with Dask
Genre Computers & Internet
Published
Language English
E-Book Size 10.05 MB

Scaling Python with Dask (Holden Karau & Mika Kimmins) Book Reviews 2024

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Summary of Scaling Python with Dask by Holden Karau & Mika Kimmins

The Scaling Python with Dask book written by Holden Karau & Mika Kimmins was published on 19 July 2023, Wednesday in the Computers & Internet category. A total of 50 readers of the book gave the book 0 points out of 5.

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