Distributed Computing with Python
Book Details:
Pages: | 170 |
Published: | Apr 12 2016 |
Posted: | Apr 25 2017 |
Language: | English |
Book format: | PDF |
Book size: | 4.48 MB |
Book Description:
Harness the power of multiple computers using Python through this fast-paced informative guide About 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 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. 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 In Detail 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. Style and Approach This example based, step-by-step guide will show you how to make the best of your hardware configuration using Python for distributing applications.
An introduction to Python for science and engineering
Python is a free open-source language and environment that has tremendous potential in the scientific computing domain. Computing with Python presents the programming language in tight connection with mathematical applications. The approach of the book is concept based rather than a systematic introduction to the language.It is written for a mathematical readership and is aimed at students with a mathematical background....
Distributed and Parallel Computing with Ruby
Learn from legendary Japanese Ruby hacker Masatoshi Seki in this first English-language book on his own Distributed Ruby library. You'll find out about distributed computing, advanced Ruby concepts and techniques, and the philosophy of the Ruby way---straight from the source. dRuby has been part of the Ruby standard library for more than a decade, yet few know the true power of the gem. Completely written in Ruby, dRuby enables you to communicate between distributed Ruby processes as if there were no boundaries between processes. This is one of the few books that covers distributed and parallel programming for Ruby developers.The dRuby Book has been completely updated and expanded from its Japanese version, with three new chapters written by Masatosh...
From Distributed Computing to Cloudware Applications
Guide to Cloud Computing for Business and Technology Managers: From Distributed Computing to Cloudware Applications unravels the mystery of cloud computing and explains how it can transform the operating contexts of business enterprises. It provides a clear understanding of what cloud computing really means, what it can do, and when it is practical to use. Addressing the primary management and operation concerns of cloudware, including performance, measurement, monitoring, and security, this pragmatic book: Introduces the enterprise applications integration (EAI) solutions that were a first step toward enabling an integrated enterprise Details service-oriented architecture (SOA) and related technologies that paved the road for cloudware applications...
2007 - 2021 © eBooks-IT.org