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Showing 7 books on High Performance Computing
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High Performance Python: Practical Performant Programming for Humans

by Micha Gorelick

0.8026315789473684 46 / 228
Bestseller Score [?]
Ranked 46 out of 228 books in our database
0.17056074766355142 0 credentials
Author Score [?]
No author credentials found
0.5592105263157895 2 comments
Audience Score [?]
0.5108009509755698
Pythonmeter [?]
Your Python code may run correctly, but you need it to run faster. Updated for Python 3, this expanded edition shows you how to locate performance bottlenecks and significantly speed up your code i...
Published on : May 26, 2020
Python version: TH
468 pages

Scaling Python with Ray: Adventures in Cloud and Serverless Patterns

by Holden Karau

0.2850877192982456 164 / 228
Bestseller Score [?]
Ranked 164 out of 228 books in our database
0.9813084112149533 8 credentials
Author Score [?]
0.1929824561403509 0 comments
Audience Score [?]
No Reddit comments mentioned the book
0.48645952888451655
Pythonmeter [?]
In this book, experienced software architecture practitioners Holden Karau and Boris Lublinsky show you how to scale existing Python applications and pipelines, allowing you to stay in the Python e...
Published on : Jan. 3, 2023
Python version: TH
266 pages

Python Concurrency with asyncio

by Matthew Fowler

0.4473684210526316 127 / 228
Bestseller Score [?]
Ranked 127 out of 228 books in our database
0.5841121495327103 5 credentials
Author Score [?]
0.1929824561403509 0 comments
Audience Score [?]
No Reddit comments mentioned the book
0.40815434224189756
Pythonmeter [?]
Python is flexible, versatile, and easy to learn. It can also be very slow compared to lower-level languages. Python Concurrency with asyncio teaches you how to boost Python's performance by applyi...
Published on : March 1, 2022
Python version: TH
376 pages

Cython: A Guide for Python Programmers

by Kurt W. Smith

0.41666666666666663 134 / 228
Bestseller Score [?]
Ranked 134 out of 228 books in our database
0.17056074766355142 0 credentials
Author Score [?]
No author credentials found
0.5592105263157895 2 comments
Audience Score [?]
0.3821459802153358
Pythonmeter [?]
Build software that combines Python’s expressivity with the performance and control of C (and C++). It’s possible with Cython, the compiler and hybrid programming language used by foundational pack...
Published on : Jan. 31, 2015
Python version: BO
254 pages

Python Parallel Programming Cookbook: Over 70 recipes to solve challenges in multithreading and distributed system with Python 3

by Giancarlo Zaccone

0.29385964912280704 162 / 228
Bestseller Score [?]
Ranked 162 out of 228 books in our database
0.5841121495327103 1 credentials
Author Score [?]
0.1929824561403509 0 comments
Audience Score [?]
No Reddit comments mentioned the book
0.3569847515986227
Pythonmeter [?]
This is one of the best books if you want to learn parallel or distributed computing in Python. You will learn many practical recipes with concise explanations that address development pain points ...
Published on : Sept. 6, 2019
Python version: TH
370 pages

Python High Performance: Build high-performing, concurrent, and distributed applications

by Gabriele Lanaro

0.07894736842105263 211 / 228
Bestseller Score [?]
Ranked 211 out of 228 books in our database
0.17056074766355142 0 credentials
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No author credentials found
0.44298245614035087 1 comments
Audience Score [?]
0.23083019074165165
Pythonmeter [?]
Python is a versatile language that has found applications in many industries. The clean syntax, rich standard library, and vast selection of third-party libraries make Python a wildly popular lang...
Published on : May 24, 2017
Python version: TH
270 pages

Distributed Computing with Python: Harness the power of multiple computers using Python

by Francesco Pierfederici

0.08771929824561404 209 / 228
Bestseller Score [?]
Ranked 209 out of 228 books in our database
0.17056074766355142 0 credentials
Author Score [?]
No author credentials found
0.1929824561403509 0 comments
Audience Score [?]
No Reddit comments mentioned the book
0.15042083401650544
Pythonmeter [?]
CPU-intensive data processing tasks have become crucial considering the complexity of the various big data applications that are used today. Reducing the CPU utilization per process is very importa...
Published on : April 12, 2016
Python version: TH
170 pages