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Learning Python Networking

You're reading from   Learning Python Networking A complete guide to build and deploy strong networking capabilities using Python 3.7 and Ansible

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Product type Paperback
Published in Mar 2019
Publisher
ISBN-13 9781789958096
Length 490 pages
Edition 2nd Edition
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Authors (3):
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Dr. M. O. Faruque Sarker Dr. M. O. Faruque Sarker
Author Profile Icon Dr. M. O. Faruque Sarker
Dr. M. O. Faruque Sarker
José Manuel Ortega José Manuel Ortega
Author Profile Icon José Manuel Ortega
José Manuel Ortega
Sam Washington Sam Washington
Author Profile Icon Sam Washington
Sam Washington
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Toc

Table of Contents (19) Chapters Close

Preface 1. Section 1: Introduction to Network and HTTP Programming FREE CHAPTER
2. Network Programming with Python 3. Programming for the Web with HTTP 4. Section 2: Interacting with APIs, Web Scraping, and Server Scripting
5. Application Programming Interface in Action 6. Web Scraping with BeautifulSoup and Scrapy 7. Engaging with Email 8. Interacting with Remote Systems 9. Section 3: IP Address Manipulation and Network Automation
10. Working with IP and DNS 11. Implementing IPv6 and Address Manipulation 12. Performing Network Automation with Python and Ansible 13. Section 4: Sockets and Server Programming
14. Programming with Sockets 15. Designing Servers and Asynchronous Programming 16. Designing Applications on the Web 17. Assessment 18. Another Book You May Enjoy

Summary

In this chapter, we reviewed the JSON data format, how to convert Python objects into the JSON data format, and how to convert them back to Python objects. We then explored the Twitter API and wrote an on-demand search service using tag names. We also explored other modules, such as Tweepy, which is used for processing tweets in real time.

We learned about XML, and how to construct documents, parse them, and extract data from them by using the ElementTree API. We looked at both the Python ElementTree implementation and lxml. We looked at the Amazon S3 service and wrote a client that lets us perform basic operations, such as listing and creating buckets, and uploading and downloading files through the S3 REST API and the Boto package.

In the next chapter, we will review the web scraping process as a technique for extracting information from websites. We will use Python...

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