Scaling Python with Dask, 9781098119874
Paperback
Parallelize Python, scale data: Dask unlocks power of multi-core systems.

Scaling Python with Dask

from data science to machine learning

$151.02

  • Paperback

    202 pages

  • Release Date

    29 September 2023

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Summary

Unleash Parallel Power: Scaling Python with Dask

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.

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Book Details

ISBN-13:9781098119874
ISBN-10:1098119878
Author:Holden Karau, Mika Kimmins
Publisher:O'Reilly Media
Imprint:O'Reilly Media
Format:Paperback
Number of Pages:202
Release Date:29 September 2023
Weight:400g
Dimensions:233mm x 178mm
About The Author

Holden Karau

Holden Karau is a queer transgender Canadian, Apache Spark committer, Apache Software Foundation member, and an active open source contributor. As a software engineer, she’s worked on a variety of distributed computing, search, and classification problems at Apple, Google, IBM, Alpine, Databricks, Foursquare, and Amazon. She graduated from the University of Waterloo with a bachelor of mathematics in computer science. Outside of software, she enjoys playing with fire, welding, riding scooters, eating poutine, and dancing.

Mika Kimmins is a data engineer, distributed systems researcher, and ML consultant. She worked on a variety of NLP, language modeling, reinforcement learning, and ML pipelining at scale as a Siri Data Engineer at Apple, an academic, and in not-for-profit engineering capacities. She is currently earning an MS in Engineering Science and an MBA from Harvard, and holds a BS in Computer Science and Mathematics from the University of Toronto. As a Korean-Canadian-American trans woman, Mika is active in data-driven advocacy for queer healthcare access, advises undergraduate Computer Science students, and attempts to keep her volunteer EMT courses current. Her hobbies include figure skating, aerial arts, and sewing.

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