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

Introduction to web scraping

In this section, we will learn about how we can extract the content of a web page by automating the extraction of information.

Web content extraction

Among the techniques available to extract content from the web, we can highlight the following:

  • Screen scraping: A technique that allows you to obtain information by moving around the screen, registering user pulsations.
  • Web scraping: The aim is to obtain the information of a resource, such as a web page in HTML, and process that information to extract relevant data.
  • Report mining: A technique that also tries to obtain information, but in this case from a file (HTML, RDF, CSV, and so on). So, with this approach, we can create a simple and fast mechanism...