Book Image

Advanced Python Programming

By : Dr. Gabriele Lanaro, Quan Nguyen, Sakis Kasampalis
Book Image

Advanced Python Programming

By: Dr. Gabriele Lanaro, Quan Nguyen, Sakis Kasampalis

Overview of this book

This Learning Path shows you how to leverage the power of both native and third-party Python libraries for building robust and responsive applications. You will learn about profilers and reactive programming, concurrency and parallelism, as well as tools for making your apps quick and efficient. You will discover how to write code for parallel architectures using TensorFlow and Theano, and use a cluster of computers for large-scale computations using technologies such as Dask and PySpark. With the knowledge of how Python design patterns work, you will be able to clone objects, secure interfaces, dynamically choose algorithms, and accomplish much more in high performance computing. By the end of this Learning Path, you will have the skills and confidence to build engaging models that quickly offer efficient solutions to your problems. This Learning Path includes content from the following Packt products: • Python High Performance - Second Edition by Gabriele Lanaro • Mastering Concurrency in Python by Quan Nguyen • Mastering Python Design Patterns by Sakis Kasampalis
Table of Contents (41 chapters)
Title Page
About Packt

Chapter 18. Building Communication Channels with asyncio

Communication channels are a big part of applied concurrency in the field of computer science. In this chapter, we will cover the fundamental theories of transports, which are classes provided by the asyncio module in order to abstract various forms of communication channels. We will also cover an implementation of a simple echoing server-client logic in Python, in order to further illustrate the use of asyncio and concurrency in communication systems. The code for this example will serve as the foundation for an advanced example that will appear later in this book.

The following topics will be covered in this chapter:

  • The fundamentals of communication channels and applying asynchronous programming to them
  • How to build an asynchronous server in Python by using asyncio and aiohttp
  • How to make requests to multiple servers asynchronously and handle asynchronous file reading and writing