Concurrent NumPy in Python: Faster NumPy With BLAS, Python Threads, and Multiprocessing

by Jason Brownlee

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Concurrency in NumPy is not an afterthoughtDiscover matrix multiplication that is 2.7x faster.Discover array initialization that is up to 3.2x faster.Discover sharing copied arrays that is up to 516.91x faster.
NumPy is how we represent arrays of numbers in Python.

An entire ecosystem of third-party libraries has been developed around NumPy arrays, from machine learning and deep learning to image and computer vision and more.

Given...

Format:Paperback

Language:English

ISBN:B0CJH8YC5K

ISBN13:9798862038057

Release Date:September 2023

Publisher:Independently Published

Length:476 Pages

Weight:1.39 lbs.

Dimensions:1.0" x 6.0" x 9.0"

Related Subjects

Computers Computers & Technology

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Concurrent NumPy in Python: Faster NumPy With BLAS, Python Threads, and Multiprocessing

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