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

There are seven main layers of communication in a data transmission process, with varying degrees of computing level. The media layers contain fairly low-level operations that interact with the underlying process of the communication channel, while the host layers deals with high-level data communication and manipulation. Of the seven, the transport layer is often viewed as the conceptual transition between the media layers and the host layers, responsible for sending data along end-to-end connections between different systems. Asynchronous programming can provide functionalities that complement the process of efficiently facilitating communication channels.

Server-wise, the asyncio module combines the abstract of transports with the implementation of an asynchronous program. Specifically, via its BaseTransport and BaseProtocol classes, asyncio provides different ways...