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

Managing the event loop with asyncio

The asyncio Python module provides facilities for managing events, coroutines, tasks, as well as threads, and synchronization primitives for writing concurrent code.

The main components of this module are as follows:

  • Event loop: The asyncio module allows one event loop per process. This is the entity that deals with managing and distributing the execution of different tasks. In particular, this registers the tasks and manages them by switching the control flow from one task to another.
  • Coroutines: This is a generalization of the concept of the subroutine. Also, a coroutine can be suspended during execution to wait for external processing (some routine in I/O) and return from the point it had stopped at when the external processing is done.
  • Futures: This defines the Future object exactly like the concurrent.futures module...