Book Image

Python Parallel Programming Cookbook - Second Edition

By : Giancarlo Zaccone
Book Image

Python Parallel Programming Cookbook - Second Edition

By: Giancarlo Zaccone

Overview of this book

<p>Nowadays, it has become extremely important for programmers to understand the link between the software and the parallel nature of their hardware so that their programs run efficiently on computer architectures. Applications based on parallel programming are fast, robust, and easily scalable. </p><p> </p><p>This updated edition features cutting-edge techniques for building effective concurrent applications in Python 3.7. The book introduces parallel programming architectures and covers the fundamental recipes for thread-based and process-based parallelism. You'll learn about mutex, semaphores, locks, queues exploiting the threading, and multiprocessing modules, all of which are basic tools to build parallel applications. Recipes on MPI programming will help you to synchronize processes using the fundamental message passing techniques with mpi4py. Furthermore, you'll get to grips with asynchronous programming and how to use the power of the GPU with PyCUDA and PyOpenCL frameworks. Finally, you'll explore how to design distributed computing systems with Celery and architect Python apps on the cloud using PythonAnywhere, Docker, and serverless applications. </p><p> </p><p>By the end of this book, you will be confident in building concurrent and high-performing applications in Python.</p>
Table of Contents (16 chapters)
Title Page

Distributed task management with Celery

Celery is a Python framework that manages distributed tasks by following the object-oriented middleware approach. Its main feature is handling many small tasks and distributing them on many computational nodes. Finally, the result of each task will then be reworked in order to compose the overall solution.

To use Celery, a message broker is required. This is an independent (from Celery) software component that has the function of middleware, which is used to send and receive messages to distributed task workers.

In fact, a message broker—also known as message middleware—deals with the exchange of messages in a communication network.: the addressing scheme of this type of middleware is no longer of the point-to-point type, but is message-oriented addressing.

The reference architecture, with which the message broker...