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)

Summary

Asynchronous programming is a programming model that is based on task coordination through task switching. It is different from traditional sequential (or synchronous) programming since it creates an overlap between processing and waiting time, which provides potential improvements in speed. Asynchronous programming is also different from threading and multiprocessing, as it only takes place within one single thread in one single process.

Asynchronous programming is mostly used to improve the responsiveness of a program. When a large input takes a significant amount of time to process, the sequential version of a program will appear to be hanging, while the asynchronous program will move to other less heavy tasks. This allows small inputs to finish executing first and help the program to be more responsive.

In the next chapter, we will learn about the main structure of...