Distributed Computing with Python

Distributed Computing with Python

Harness the power of multiple computers using Python through this fast-paced informative guideAbout This Book- You'll learn to write data processing programs in Python that are highly available, reliable, and fault tolerant- Make use of Amazon Web Services along with Python to establish a powerful remote computation system- Train Python to handle data-intensive and resource hungry applicationsWho This Book Is ForThis book is for Python developers who have developed Python programs for data processing and now want to learn how to write fast, efficient programs that perform CPU-intensive data processing tasks.What You Will Learn- Get an introduction to parallel and distributed computing- See synchronous and asynchronous programming- Explore parallelism in Python- Distributed application with Celery- Python in the Cloud- Python on an HPC cluster- Test and debug distributed applicationsIn DetailCPU-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 important to improve the overall speed of applications.This book will teach you how to perform parallel execution of computations by distributing them across multiple processors in a single machine, thus improving the overall performance of a big data processing task. We will cover synchronous and asynchronous models, shared memory and file systems, communication between various processes, synchronization, and more.Style and ApproachThis example based, step-by-step guide will show you how to make the best of your hardware configuration using Python for distributing applications.

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ISBN 9781785889691
Pages 170 pages
Distributed Computing with Python
Language: en
Pages: 170
Authors: Francesco Pierfederici
Categories: Computers
Type: BOOK - Published: 2016-04-11 - Publisher:

Harness the power of multiple computers using Python through this fast-paced informative guideAbout This Book- You'll learn to write data processing programs in
Topics in Parallel and Distributed Computing
Language: en
Pages: 360
Authors: Sushil K Prasad
Categories: Computers
Type: BOOK - Published: 2015-09-16 - Publisher: Morgan Kaufmann

Topics in Parallel and Distributed Computing provides resources and guidance for those learning PDC as well as those teaching students new to the discipline. Th
Intelligent Distributed Computing IX
Language: en
Pages: 521
Authors: Paulo Novais
Categories: Technology & Engineering
Type: BOOK - Published: 2015-10-26 - Publisher: Springer

This book represents the combined peer-reviewed proceedings of the ninth International Symposium on Intelligent Distributed Computing – IDC’2015, of the Wor
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Language: en
Pages: 552
Authors: Mainak Chatterjee
Categories: Computers
Type: BOOK - Published: 2014-01-02 - Publisher: Springer

This book constitutes the proceedings of the 15th International Conference on Distributed Computing and Networking, ICDCN 2014, held in Coimbatore, India, in Ja
Advances in Parallel & Distributed Processing, and Applications
Language: en
Pages: 1228
Authors: Hamid R. Arabnia
Categories: Technology & Engineering
Type: BOOK - Published: 2021-10-18 - Publisher: Springer Nature

The book presents the proceedings of four conferences: The 26th International Conference on Parallel and Distributed Processing Techniques and Applications (PDP
Proceedings of the 8th Python in Science Conference
Language: en
Pages: 92
Authors: GaeÌl Varoquaux
Categories:
Type: BOOK - Published: 2010-02-23 - Publisher: Lulu.com

The proceedings of the 8th annual Python for Scientific Computing conference.
Python High Performance
Language: en
Pages: 270
Authors: Gabriele Lanaro
Categories: Computers
Type: BOOK - Published: 2017-05-24 - Publisher: Packt Publishing Ltd

Learn how to use Python to create efficient applications About This Book Identify the bottlenecks in your applications and solve them using the best profiling t
Concurrent and Distributed Computing with Python
Language: en
Pages:
Authors: Harish Garg
Categories:
Type: BOOK - Published: 2018 - Publisher:

"Facing difficulty in implementing concurrent and multithreaded programs in your Python applications? Is this preventing you from implementing efficient code in
Architectural Transformations in Network Services and Distributed Systems
Language: en
Pages: 344
Authors: Andriy Luntovskyy
Categories: Technology & Engineering
Type: BOOK - Published: 2017-03-23 - Publisher: Springer

With the given work we decided to help not only the readers but ourselves, as the professionals who actively involved in the networking branch, with understandi
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Language: en
Pages: 516
Authors: Sacha Krakowiak
Categories: Computers
Type: BOOK - Published: 2003-06-26 - Publisher: Springer

In 1992 we initiated a research project on large scale distributed computing systems (LSDCS). It was a collaborative project involving research institutes and u