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)

Implementing Asynchronous Programming in Python

This chapter will introduce you to the asyncio module in Python. It will cover the idea behind this new concurrency module, which utilizes event loops and coroutines and provides an API that is as readable as synchronous code. In this chapter, we will also discuss the implementation of asynchronous programming, in addition to threading and multiprocessing through the concurrent.futures module. During this process, we will cover the application of asynchronous programming via the most common uses of asyncio, including asynchronous input/output and avoiding blocking tasks.

The following topics will be covered in this chapter:

  • The fundamental elements of implementing asynchronous programming using asyncio
  • The framework for asynchronous programming provided by asyncio
  • The concurrent.futures module and its usage, in respect to asyncio...