Distributed Computing with Python

Harness the power of multiple computers using Python through this fast-paced informative guide

By: Francesco Pierfederici

Write A Review

eText | 12 April 2016 | Edition Number 1

At a Glance

Format
ePUB

eText

$47.29

or 4 interest-free payments of $11.82 with

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

Harness the power of multiple computers using Python through this fast-paced informative guide

Key Features

[*] 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

Book 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.

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

Who this book is 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.