You're reading from Advanced Python Programming - Second Edition

Product type Book

Published in Mar 2022

Publisher Packt

ISBN-13 9781801814010

Pages 606 pages

Edition 2nd Edition

Languages

Concepts

Object Oriented Programming

Author (1):

Quan Nguyen

Table of Contents (32) Chapters

Preface

1. Section 1: Python-Native and Specialized Optimization

2. Chapter 1: Benchmarking and Profiling

3. Chapter 2: Pure Python Optimizations

4. Chapter 3: Fast Array Operations with NumPy, Pandas, and Xarray

5. Chapter 4: C Performance with Cython

6. Chapter 5: Exploring Compilers

7. Chapter 6: Automatic Differentiation and Accelerated Linear Algebra for Machine Learning

8. Section 2: Concurrency and Parallelism

9. Chapter 7: Implementing Concurrency

10. Chapter 8: Parallel Processing

11. Chapter 9: Concurrent Web Requests

12. Chapter 10: Concurrent Image Processing

13. Chapter 11: Building Communication Channels with asyncio

14. Chapter 12: Deadlocks

15. Chapter 13: Starvation

16. Chapter 14: Race Conditions

17. Chapter 15: The Global Interpreter Lock

18. Section 3: Design Patterns in Python

19. Chapter 16: The Factory Pattern

20. Chapter 17: The Builder Pattern

21. Chapter 18: Other Creational Patterns

22. Chapter 19: The Adapter Pattern

23. Chapter 20: The Decorator Pattern

24. Chapter 21: The Bridge Pattern

25. Chapter 22: The Façade Pattern

26. Chapter 23: Other Structural Patterns

27. Chapter 24: The Chain of Responsibility Pattern

28. Chapter 25: The Command Pattern

29. Chapter 26: The Observer Pattern

30. Assessments

31. Other Books You May Enjoy

Summary

In this chapter, we 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 of HTTP response status codes, each indicating a different concept regarding the communication between the server and its client. By considering the status codes that are received from different websites, we can write a ping test application that effectively checks 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 several considerations in mind when making concurrent web requests.

All in all, the exercise we just went through in this chapter will prove useful in helping us approach the general problem of converting a sequential program into its concurrent version. The simple ping test that we have built could also be extended to...