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High Performance Python

High Performance Python Computer Science

High Performance Python

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Description
Your Python code may run correctly, but you need it to run faster. By exploring the fundamental theory behind design choices, this practical guide helps you gain a deeper understanding of Python’s implementation. You’ll learn how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs. How can you take advantage of multi-core architectures or clusters? Or build a system that can scale up and down without losing reliability? Experienced Python programmers will learn concrete solutions to these and other issues, along with war stories from companies that use high performance Python for social media analytics, productionized machine learning, and other situations. * Get a better grasp of numpy, Cython, and profilers * Learn how Python abstracts the underlying computer architecture * Use profiling to find bottlenecks in CPU time and memory usage * Write efficient programs by choosing appropriate data structures * Speed up matrix and vector computations * Use tools to compile Python down to machine code * Manage multiple I/O and computational operations concurrently * Convert multiprocessing code to run on a local or remote cluster * Solve large problems while using less RAM
Product details
Binding:
Paperback
Edition:
1
Number of Pages:
368
Release Date:
2014-09-29
Publication Date:
2014-09-29
Publisher:
O'Reilly Media
Languages:
Original: English
ISBN10:
1449361595
ISBN13:
9781449361594
Weight:
643 g
Height:
179 cm
Width:
231 cm
Thickness:
22 cm

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Almost no signs of wear. Book pages have no markings, accessories are intact and all other media are in good condition.
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