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Mika Kimmins - Scaling Python with Dask From Data Science to Machin - S9000z

Description: About this Item The item is a book Paperback The Author Name is Mika Kimmins The Title is Scaling Python with Dask : From Data Science to Machine Learning Condition New Other Comments Pages Count - 223. Category - Computers Product Description - 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 We Use Stock Images Because we have over 2 million items for sale we have to use stock images, this listing does not include the actual image of the item for sale. The purchase of this specific item is made with the understanding that the image shown in this listing is a stock image and not the actual item for sale. For example: some of our stock images include stickers, labels, price tags, hyper stickers, obi's, promotional messages, signatures and or writing which may not be available in the actual item. When possible we will add details of the items we are selling to help buyers know what is included in the item for sale. The details are provided automatically from our central master database and can sometimes be wrong. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions. The Book you receive could be any of these editions or variations. If you are looking for a specific edition or version please contact us to verify what we are selling. Gift Ideas This is a great Christmas gift idea. Hours of Service We have many warehouses, some of the warehouses process orders seven days a week, but the Administration Support Staff are located at a head office location, outside of the warehouses, and typically work only Monday to Friday. Location ID 9000z iHaveit SKU ID 167444210

Price: 107.45 USD

Location: US

End Time: 2024-11-22T18:03:25.000Z

Shipping Cost: 5.33 USD

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Mika Kimmins - Scaling Python with Dask   From Data Science to Machin - S9000z

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

Fiction/Non-Fiction: Non-Fiction

Genre/Subject: Computers

Narrator/Voice Actors: NA

Length: 176

Running Time: NA

Features: NA

Age Level: NA

Modified Item: NA

Modification Description: NA

Title: Scaling Python with Dask From Data Science to Machine Learning

Series: NA

Signed: NA

Inscribed: NA

Personalized: NA

California Prop 65 Warning: NA

Weight: 0.37

Number of Pages: 200 Pages

Language: English

Publication Name: Scaling Python with Dask : from Data Science to Machine Learning

Publisher: O'reilly Media, Incorporated

Publication Year: 2023

Item Height: 0.7 in

Subject: Data Modeling & Design, Programming / Open Source, Data Processing, Programming Languages / Python

Item Weight: 13.1 Oz

Type: Textbook

Subject Area: Computers

Item Length: 9.1 in

Author: Mika Kimmins, Holden Karau

Item Width: 7 in

Format: Trade Paperback

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