Distributed Computing with Python: Harness the power of multiple computers using Python through this fast-paced informative guide

Pierfederici

$9.99 ~~$29.99~~

4.3 (3 Ratings)

eBook Apr 2016 170 pages 1st Edition

Pierfederici

$9.99 ~~$29.99~~

4.3 (3 Ratings)

eBook Apr 2016 170 pages 1st Edition

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Key benefits

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 applications

Description

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 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.

Who is this book for?

This 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 applications

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

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Hugo Jun 20, 2021

Es werden die wichtigsten Mechanismen des distributed/parallel computing gut erklärt.

Amazon Verified review

Stefan Mar 23, 2017

I needed a crash course on distributed programming and I got it out of this book. I had a week to learn about concurrency, threading, multiprocessing and how they are implemented in Python and I suceeded with this. I feel confident to jump into harder texts and tutorials and other frameworks now. This book will *not* give you an in-depth coverage of the topics, it is only about 120 pages of content. Perfect for my purpose, thank you.

Phil Dec 18, 2017

This is a very light introduction to distributed computing with Python, which could really do with more information. It introduces important concepts but then moves straight on without getting into any detail. (ie. it mentions two communication methods between processes in the multiprocessing module, pipes and queues, and then ignores pipes altogether). If you've never touched distributing computing this might be a good starting point, but the python docs for the modules give far more detail and are almost as accessible (and free). Additionally there are quite a few errors in the book, at least one of which says the exact opposite of what it should, which might be very confusing for a reader.

Distributed Computing with Python: Harness the power of multiple computers using Python through this fast-paced informative guide

What do you get with eBook?