Book Image

Learning Python Networking - Second Edition

By : José Manuel Ortega, Dr. M. O. Faruque Sarker, Sam Washington
Book Image

Learning Python Networking - Second Edition

By: José Manuel Ortega, Dr. M. O. Faruque Sarker, Sam Washington

Overview of this book

Network programming has always been a demanding task. With full-featured and well-documented libraries all the way up the stack, Python makes network programming the enjoyable experience it should be. Starting with a walk through of today's major networking protocols, through this book, you'll learn how to employ Python for network programming, how to request and retrieve web resources, and how to extract data in major formats over the web. You will utilize Python for emailing using different protocols, and you'll interact with remote systems and IP and DNS networking. You will cover the connection of networking devices and configuration using Python 3.7, along with cloud-based network management tasks using Python. As the book progresses, socket programming will be covered, followed by how to design servers, and the pros and cons of multithreaded and event-driven architectures. You'll develop practical clientside applications, including web API clients, email clients, SSH, and FTP. These applications will also be implemented through existing web application frameworks.
Table of Contents (19 chapters)
Free Chapter
1
Section 1: Introduction to Network and HTTP Programming
4
Section 2: Interacting with APIs, Web Scraping, and Server Scripting
9
Section 3: IP Address Manipulation and Network Automation
13
Section 4: Sockets and Server Programming

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...