eBook - ePub

Python Parallel Programming Cookbook

Name: Python Parallel Programming Cookbook
ISBN: 9781785289583

Giancarlo Zaccone,

286 pages
English
ePUB (mobile friendly)
Available on iOS & Android

eBook - ePub

Python Parallel Programming Cookbook

Giancarlo Zaccone,

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

Edition

eBook ISBN

9781785289583

Topic

Computer Science

Subtopic

Programming in Python

Index

Computer Science

Python Parallel Programming Cookbook

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About the Author

About the Reviewers

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Preface

What this book covers

What you need for this book

Who this book is for

Sections

Getting ready

How to do it…

How it works…

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Yes, you can access Python Parallel Programming Cookbook by Giancarlo Zaccone in PDF and/or ePUB format, as well as other popular books in Computer Science & Programming in Python. We have over one million books available in our catalogue for you to explore.

Python Parallel Programming Cookbook

Python Parallel Programming Cookbook

About this book

Trusted by 375,005 students

Information

Python Parallel Programming Cookbook

Table of Contents

Table of contents

Frequently asked questions