Book Image

Hands-On Reactive Programming with Python

By : Romain Picard
Book Image

Hands-On Reactive Programming with Python

By: Romain Picard

Overview of this book

Reactive programming is central to many concurrent systems, but it’s famous for its steep learning curve, which makes most developers feel like they're hitting a wall. With this book, you will get to grips with reactive programming by steadily exploring various concepts This hands-on guide gets you started with Reactive Programming (RP) in Python. You will learn abouta the principles and benefits of using RP, which can be leveraged to build powerful concurrent applications. As you progress through the chapters, you will be introduced to the paradigm of Functional and Reactive Programming (FaRP), observables and observers, and concurrency and parallelism. The book will then take you through the implementation of an audio transcoding server and introduce you to a library that helps in the writing of FaRP code. You will understand how to use third-party services and dynamically reconfigure an application. By the end of the book, you will also have learned how to deploy and scale your applications with Docker and Traefik and explore the significant potential behind the reactive streams concept, and you'll have got to grips with a comprehensive set of best practices.
Table of Contents (16 chapters)

Chapter 7

What are the existing software isolation technologies?

Three major isolation technologies exist:

  • Emulators
  • Virtual machines
  • Containers

Emulators provide the strongest isolation, at the expense of performance. Virtual machines are more efficient than emulators but can only execute software with the same CPU architecture as the host, and provide fewer isolation guarantees. Finally, containers are the most efficient solution, but with fewer guarantees on isolation, at least in theory.

What is Docker?

Docker is a set of tools that ease the management of Linux containers.

On what kind of system does Docker software run?

A Docker image can run only on a Linux operating system. Moreover, most images are build for an x86-64 processor. It is, however, possible to generate images for ARM 64 processors.

What is the difference between a Docker image and a Docker instance?

A Docker...