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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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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

Chapter 1

What is the idea behind concurrency, and why is it useful?

Concurrency is about designing and structuring program commands and instructions so that different sections of the program can be executed in an efficient order, while sharing the same resources.

What are the differences between concurrent programming and sequential programming?

In sequential programming, the commands and instructions are executed one at the time, in a sequential order. In concurrent programming, some sections might be executed in an efficient way for better execution time.

What are the differences between concurrent programming and parallel programming?

In parallel programming, the separate sections of a program are independent of one another; they do not interact with one another, and therefore, they can be executed simultaneously. In concurrent programming, the separate tasks share the same...

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