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Showing 7 books on High Performance Computing
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Scaling Python with Ray: Adventures in Cloud and Serverless Patterns

by Holden Karau

0.7024793388429752 73 / 242
Bestseller Score [?]
Ranked 73 out of 242 books in our database
0.9822222222222223 8 credentials
Author Score [?]
0.2024793388429752 0 comments
Audience Score [?]
No Reddit comments mentioned the book
0.629060299969391
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

High Performance Python: Practical Performant Programming for Humans

by Micha Gorelick

0.5950413223140496 99 / 242
Bestseller Score [?]
Ranked 99 out of 242 books in our database
0.16666666666666669 0 credentials
Author Score [?]
No author credentials found
0.5681818181818182 2 comments
Audience Score [?]
0.44329660238751156
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

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

by Giancarlo Zaccone

0.3264462809917355 164 / 242
Bestseller Score [?]
Ranked 164 out of 242 books in our database
0.5822222222222222 1 credentials
Author Score [?]
0.2024793388429752 0 comments
Audience Score [?]
No Reddit comments mentioned the book
0.37038261401897765
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

Cython: A Guide for Python Programmers

by Kurt W. Smith

0.34710743801652894 159 / 242
Bestseller Score [?]
Ranked 159 out of 242 books in our database
0.16666666666666669 0 credentials
Author Score [?]
No author credentials found
0.5681818181818182 2 comments
Audience Score [?]
0.360651974288338
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 Concurrency with asyncio

by Matthew Fowler

0.2231404958677686 189 / 242
Bestseller Score [?]
Ranked 189 out of 242 books in our database
0.5822222222222222 5 credentials
Author Score [?]
0.2024793388429752 0 comments
Audience Score [?]
No Reddit comments mentioned the book
0.33594735231098866
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

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

by Gabriele Lanaro

0.0743801652892562 225 / 242
Bestseller Score [?]
Ranked 225 out of 242 books in our database
0.16666666666666669 0 credentials
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No author credentials found
0.4586776859504132 1 comments
Audience Score [?]
0.23324150596877868
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

0.06198347107438017 228 / 242
Bestseller Score [?]
Ranked 228 out of 242 books in our database
0.16666666666666669 0 credentials
Author Score [?]
No author credentials found
0.2024793388429752 0 comments
Audience Score [?]
No Reddit comments mentioned the book
0.14370982552800735
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