Distributed Computing with Python

Download Distributed Computing with Python

Description

English | May 5, 2016 | ISBN: 1785889699 | 156 Pages | AZW3/MOBI/EPUB/PDF (conv) | 15.28 MB

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.

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

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

About the Author

Francesco Pierfederici is a software engineer who loves Python. He has been working in the fields of astronomy, biology, and numerical weather forecasting for the last 20 years.

He has built large distributed systems that make use of tens of thousands of cores at a time and run on some of the fastest supercomputers in the world. He has also written a lot of applications of dubious usefulness but that are great fun. Mostly, he just likes to build things.

Table of Contents

An Introduction to Parallel and Distributed Computing

Asynchronous Programming

Parallelism in Python

Distributed Applications – with Celery

Python in the Cloud

Python on an HPC Cluster

Testing and Debugging Distributed Applications

The Road Ahead

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