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Key benefits

1. Design and implement efficient parallel software

2. Master new programming techniques to address and solve complex programming problems

3. 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

Description

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.

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

What do you get with eBook?

Instant access to your Digital eBook purchase

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

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Amazon verified reviews

Jeff Dec 09, 2016

I'm an intermediate coder, and this book is helping me to the next level with multiprocessing, testing and general strategies and tactics for attacking a challenge. Not for beginners, but a great asset after the intro books!!!

Amazon Verified review

Delio Dec 04, 2019

This book is a complete overview of parallel programming and distributed systems. It includes the right amount of well explained theory and enough practical exercises. Although the book focuses on Python and some types of programming might not be supported by other languages, this book is very useful to whoever wants to have a clear understanding of all available kinds of parallel and distributed computing.

ruben Oct 13, 2015

For all the users I did not have enough experience with this language, I could experience that with this book it helpsme a lot to understand the procedures and everything about this.With the recipes I could develop the main idea of a system, I really recommend this book. for all the user or developers that like to develop withslanguage.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.

Natester Oct 12, 2015

For readers already familiar with the Python cookbooks from Packt, you'll know the recipes in the cookbooks strive to share practical examples without getting into esoteric details. The "Python Parallel Programming Cookbook" is more than a cookbook: It includes introductions to core concepts of programming architectures and programming architectures. These introductions are necessary to take advantage of parallel processing (not just with Python).Cookbook examples are also supported with discussion of other parallel processing concepts when relevant. This is definitely helpful in understanding the "why" some recipes are efficient. (Disclaimer: I've not tried all of the recipes in the book, but the descriptions with the examples I tried were helpful.)Also an important note about this book: It does not start with a quick intro to the basics of the Python language or how to configure a Python environment. This book is definitely for developers familiar with Python that need to take Python to the next level of performance--a good one to have in the collection.

Kent P Pflibsen Nov 08, 2020

Very workable examples. Easy to follow and practice the principles.

Python Parallel Programming Cookbook: Master efficient parallel programming to build powerful applications using Python

What do you get with eBook?