eBook - ePub

Python Parallel Programming Cookbook

Name: Python Parallel Programming Cookbook
Author: Giancarlo Zaccone

Giancarlo Zaccone

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286 pages
English
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eBook - ePub

Python Parallel Programming Cookbook

Giancarlo Zaccone

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About This Book

Master efficient parallel programming to build powerful applications using Python

About This Book

Design and implement efficient parallel software
Master new programming techniques to address and solve complex programming problems
Explore the world of parallel programming with this book, which is a go-to resource for different kinds of parallel computing tasks in Python, using examples and topics covered in great depth

Who This Book Is For

Python Parallel Programming Cookbook is intended for software developers who are well versed with Python and want to use parallel programming techniques to write powerful and efficient code. This book will help you master the basics and the advanced of parallel computing.

What You Will Learn

Synchronize multiple threads and processes to manage parallel tasks
Implement message passing communication between processes to build parallel applications
Program your own GPU cards to address complex problems
Manage computing entities to execute distributed computational tasks
Write efficient programs by adopting the event-driven programming model
Explore the cloud technology with DJango and Google App Engine
Apply parallel programming techniques that can lead to performance improvements

In Detail

This book will teach you parallel programming techniques using examples in Python and will help you explore the many ways in which you can write code that allows more than one process to happen at once. Starting with introducing you to the world of parallel computing, it moves on to cover the fundamentals in Python. This is followed by exploring the thread-based parallelism model using the Python threading module by synchronizing threads and using locks, mutex, semaphores queues, GIL, and the thread pool.

Next you will be taught about process-based parallelism where you will synchronize processes using message passing along with learning about the performance of MPI Python Modules. You will then go on to learn the asynchronous parallel programming model using the Python asyncio module along with handling exceptions. Moving on, you will discover distributed computing with Python, and learn how to install a broker, use Celery Python Module, and create a worker.

You will understand anche Pycsp, the Scoop framework, and disk modules in Python. Further on, you will learnGPU programming withPython using the PyCUDA module along with evaluating performance limitations.

Style and approach

A step-by-step guide to parallel programming using Python, with recipes accompanied by one or more programming examples. It is a practically oriented book and has all the necessary underlying parallel computing concepts.

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Publisher

Packt Publishing

Year

2015

ISBN

9781785289583

Edition

Topic

Informatica

Subtopic

Programmazione in Python

Python Parallel Programming Cookbook

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Preface

What this book covers

What you need for this book

Who this book is for

Sections

Getting ready

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About This Book

Frequently asked questions

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Python Parallel Programming Cookbook

Table of Contents

Table of contents