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  • Book Overview & Buying Mastering Concurrency in Python
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Mastering Concurrency in Python

Mastering Concurrency in Python

By : Quan Nguyen
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Mastering Concurrency in Python

Mastering Concurrency in Python

1 (1)
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)
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Summary

In this chapter, we have learned about the basics of HTML and web requests. The two most common web requests are GET and POST requests. There are five main categories for HTTP response status code, each indicating a different concept regarding the communication between the server and its client. By considering the status codes received from different websites, we can write a ping test application that effectively checks for the responsiveness of those websites.

Concurrency can be applied to the problem of making multiple web requests simultaneously via threading to provide a significant improvement in application speed. However, it is important to keep in mind a number of considerations when make concurrent web requests.

In the next chapter, we will start discussing another major player in concurrent programming: processes. We will be considering the concept of and the...

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Mastering Concurrency in Python
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