Book Image

Mastering Concurrency in Python

By : Quan Nguyen
Book Image

Mastering Concurrency in Python

By: Quan Nguyen

Overview of this book

Python is one of the most popular programming languages, with numerous libraries and frameworks that facilitate high-performance computing. Concurrency and parallelism in Python are essential when it comes to multiprocessing and multithreading; they behave differently, but their common aim is to reduce the execution time. This book serves as a comprehensive introduction to various advanced concepts in concurrent engineering and programming. Mastering Concurrency in Python starts by introducing the concepts and principles in concurrency, right from Amdahl's Law to multithreading programming, followed by elucidating multiprocessing programming, web scraping, and asynchronous I/O, together with common problems that engineers and programmers face in concurrent programming. Next, the book covers a number of advanced concepts in Python concurrency and how they interact with the Python ecosystem, including the Global Interpreter Lock (GIL). Finally, you'll learn how to solve real-world concurrency problems through examples. By the end of the book, you will have gained extensive theoretical knowledge of concurrency and the ways in which concurrency is supported by the Python language
Table of Contents (22 chapters)

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...