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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
Languages
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

Concurrent Web Requests

This chapter will focus on the application of concurrency in making web requests. Intuitively, making requests to a web page to collect information about it is independent to applying the same task to another web page. Concurrency, specifically threading in this case, therefore can be a powerful tool that provides a significant speedup in this process. In this chapter, we will learn the fundamentals of web requests and how to interact with websites using Python. We will also see how concurrency can help us make multiple requests in an efficient way. Finally, we will look at a number of good practices in web requests.

In this chapter, we will cover the following concepts:

  • The basics of web requests
  • The requests module
  • Concurrent web requests
  • The problem of timeout
  • Good practices in making web requests
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