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
Dedication

Dockerizing a Python application

Containers are virtualization environments. They include everything that the software needs, namely libraries, dependencies, filesystems, and network interfaces. Unlike classic virtual machines, all the aforementioned elements share the kernel with the machine they are running on. In this way, the impact on the use of the resources of the host node is greatly reduced.

This makes the container a very attractive technology in terms of scalability, performance, and isolation. Containers are not young technology; they had success with the launch of Docker in 2013. Since then, they have completely revolutionized the standards used for application development and management.

Docker is a container platform based on the implementation of Linux Containers (LXC), which extends the functionality of this technology with the ability to manage containers...