Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Learning Hub

Free Learning

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

Product type Paperback

Published in Nov 2018

Publisher Packt

ISBN-13 9781789343052

Length 446 pages

Edition 1st Edition

Languages

Python

Tools

Abstract

Concepts

Concurrency

Author (1):

Quan Nguyen

View More author details

Table of Contents (22) Chapters

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

Leave a review - let other readers know what you think

Technical requirements

The following is a list of prerequisites for this chapter:

Python 3 must be installed on your computer
Download the GitHub repository at https://github.com/PacktPublishing/Mastering-Concurrency-in-Python
During this chapter, we will be working with the subfolder named Chapter05
Check out the following video to see the Code in Action: http://bit.ly/2Fy1ZcS

The rest of the chapter is locked

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at $19.99/month. Cancel anytime

Authors (1)

Quan Nguyen

Quan Nguyen, the author of the first edition of this book, is a Python programmer with a strong passion for machine learning. He holds a dual degree in mathematics and computer science, with a minor in philosophy, earned from DePauw University. Quan is deeply involved in the Python community and has authored multiple Python books, contributing to the Python Software Foundation and regularly sharing insights on DataScience portal. He is currently pursuing a Ph.D. in computer science at Washington University in St. Louis.

See other products by Quan Nguyen