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)

A quick analogy

Asynchronous programming is a model of programming that focuses on coordinating different tasks in an application. Its goal is to ensure that the application finishes executing those tasks in the smallest amount of time possible. From this perspective, asynchronous programming is about switching from one task to another when it is appropriate to create overlapping between waiting and processing time, and from there, shorten the total time taken to finish the whole program.

To understand the underlying idea of asynchronous programming, let's consider a quick, real-life analogy. Imagine a scenario in which you are cooking a three-course meal that contains the following:

  • An appetizer that will take 2 minutes of preparation and 3 minutes of cooking/waiting
  • A main course that will take 5 minutes of preparation and 10 minutes of cooking/waiting
  • A dessert that will...