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Mastering Concurrency in Python

You're reading from   Mastering Concurrency in Python Create faster programs using concurrency, asynchronous, multithreading, and parallel programming

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781789343052
Length 446 pages
Edition 1st Edition
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Concepts
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Author (1):
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Quan Nguyen Quan Nguyen
Author Profile Icon Quan Nguyen
Quan Nguyen
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Toc

Table of Contents (22) Chapters Close

Preface 1. Advanced Introduction to Concurrent and Parallel Programming FREE CHAPTER 2. Amdahl's Law 3. Working with Threads in Python 4. Using the with Statement in Threads 5. Concurrent Web Requests 6. Working with Processes in Python 7. Reduction Operators in Processes 8. Concurrent Image Processing 9. Introduction to Asynchronous Programming 10. Implementing Asynchronous Programming in Python 11. Building Communication Channels with asyncio 12. Deadlocks 13. Starvation 14. Race Conditions 15. The Global Interpreter Lock 16. Designing Lock-Based and Mutex-Free Concurrent Data Structures 17. Memory Models and Operations on Atomic Types 18. Building a Server from Scratch 19. Testing, Debugging, and Scheduling Concurrent Applications 20. Assessments 21. Other Books You May Enjoy

Summary

More often than not, low-level network programming involves the manipulation and handling of sockets (defined as theoretical endpoints within the nodes of a specific computer network, responsible for receiving or sending data from the nodes that they are in). The architecture of server-side communication consists of multiple steps involving socket handling, such as bind, listen, accept, read, and write. The socket module provides an intuitive API that facilitates these steps.

To create a non-blocking server with the socket module, asynchronous generators need to be implemented, in order for the execution flow to switch between tasks and data. This process also involves using callbacks that can be run by the execution flow at a later time. These two elements allow for the server to read and handle the data coming in from multiple clients at the same time, allowing the server...

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