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[NulledPremium.com] Distributed Computing With Python
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Book details Format: pdf File Size: 7.67 MB Print Length: 170 pages Publisher: Packt Publishing; 1 edition (12 April 2016) Sold by: Amazon Asia-Pacific Holdings Private Limited Language: English ASIN: B01AXR8JAC
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 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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