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

Using a queue to exchange data

A queue is a data structure of the First-In, First-Out (FIFOtype (the first input is the first to exit). A practical example is the queues to get a service, how to pay at the supermarket, or get your hair cut at the hairdresser. Ideally, you are served in the same order as you were presented to. This is exactly how a FIFO queue works.

Getting ready

In this section, we show you how to use a queue for a producer-consumer problem, that is a classic example of process synchronization.

The producer-consumer problem describes two processes: one is the producer and the other is a consumer, sharing a common buffer of a fixed size.

The task of the producer is to generate data and...