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.

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Table of Contents (19 chapters)
Preface
Preface
Who this book is for
What this book covers
To get the most out of this book
Get in touch
Free Chapter
1
Section 1: Introduction to Network and HTTP Programming
Section 1: Introduction to Network and HTTP Programming
2
Network Programming with Python
Network Programming with Python
Technical requirements
An introduction to TCP/IP networking
Protocol concepts and the problems that protocols solve
Addressing
Python network programming through libraries
Interacting with Wireshark with pyshark
Summary
Questions
Further reading
3
Programming for the Web with HTTP
Programming for the Web with HTTP
Technical requirements
Consuming web services in Python with urllib
Consuming web services in Python with requests
Handling forms with urllib and requests with Python 3.7
Handling cookies with urllib and requests with Python
Handling HTTP Basic and Digest Authentication with requests
Summary
Questions
Further reading
4
Section 2: Interacting with APIs, Web Scraping, and Server Scripting
Section 2: Interacting with APIs, Web Scraping, and Server Scripting
5
Application Programming Interface in Action
Application Programming Interface in Action
Technical requirements
Introduction to REST APIs
Introduction to JSON and the JSON module
Interacting with a JSON hybrid-REST API (Twitter)
Introduction to XML
Working with XML and a full REST API (Amazon S3 bucket) with the Boto module
Summary
Questions
Further reading
6
Web Scraping with BeautifulSoup and Scrapy
Web Scraping with BeautifulSoup and Scrapy
Technical requirements
Introduction to web scraping
Extracting information from web pages and parsing HTML with BeautifulSoup
Introduction to Scrapy components and architecture
Scrapy as a framework for performing web crawling processes and data analysis
Working with Scrapy in the cloud
Summary
Questions
Further reading
7
Engaging with Email
Engaging with Email
Technical requirements
Introduction to email protocols
Sending emails with SMTP through the smtplib library
Learning the POP3 protocol and retrieving emails with poplib
Manipulating and retrieving emails on the server email using IMAP with imapclient and imaplib
Summary
Questions
Further reading
8
Interacting with Remote Systems
Interacting with Remote Systems
Technical requirements
Understanding the SSH protocol
SSH terminals and running commands with paramiko
Understanding the FTP protocol for transferring files
Reading and interacting with SNMP servers
Reading and interacting with LDAP servers
Summary
Questions
Further reading
9
Section 3: IP Address Manipulation and Network Automation
Section 3: IP Address Manipulation and Network Automation
10
Working with IP and DNS
Working with IP and DNS
Technical requirements
Principles of the IP protocol
Retrieving the network configuration of a local machine
Using Python to manipulate IP addresses and perform CIDR calculations
The dnspython module as a tool for extracting information from DNS servers
GeoIP lookups with pygeoip and python-geoip
Summary
Questions
Further reading
11
Implementing IPv6 and Address Manipulation
Implementing IPv6 and Address Manipulation
Technical requirements
Learning and understanding the IPv6 protocol
Create an echo client and server with IPv6
Understanding netifaces module for checking IPv6 support on your network
Using the netaddr module as a network-address manipulation library for Python
Understand ipaddress module as IPv4 and IPv6 manipulation library
Summary
Questions
Further reading
12
Performing Network Automation with Python and Ansible
Performing Network Automation with Python and Ansible
Technical requirements
Basics of Ansible
Ansible's components and architecture
Automating network Python tasks with Ansible
Writing Ansible modules with Python
Summary
Questions
Further reading
13
Section 4: Sockets and Server Programming
Section 4: Sockets and Server Programming
14
Programming with Sockets
Programming with Sockets
Technical requirements
Basics of sockets
Working with UDP and TCP sockets in Python 3.7
Working with IPv6 sockets in Python 3.7
Non-blocking and asynchronous socket I/O
HTTPS and securing sockets with TLS
Summary
Questions
Further reading
15
Designing Servers and Asynchronous Programming
Designing Servers and Asynchronous Programming
Technical requirements
Building a multiprocessing-based TCP server
Building asynchronous applications with asyncio and aiohttp
Building asynchronous network applications with Tornado
Building asynchronous network applications with Twisted
Building asynchronous network applications with Celery
Summary
Questions
Further reading
16
Designing Applications on the Web
Designing Applications on the Web
Technical requirements
Writing a web application with WSGI
Existing web application frameworks (Django, Flask, and Plone)
The MVC pattern and dynamic web programming with Python
Creating RESTful web applications and working with Flask and HTTP requests
Working with a database in Flask with SQLAlchemy
Summary
Questions
Further reading
17
Assessment
Assessment
Chapter 1, Network Programming with Python
Chapter 2, Programming for the Web with HTTP
Chapter 3, Application Programming Interface in Action
Chapter 4, Web Scraping with BeautifulSoup and Scrapy
Chapter 5, Engaging with Email
Chapter 6, Interacting with Remote Systems
Chapter 7, Working with IP and DNS
Chapter 8, Implementing IPv6 and Address Manipulation
Chapter 9, Performing Network Automation with Python and Ansible
Chapter 10, Programming with Sockets
Chapter 11, Designing Servers and Asynchronous Programming
Chapter 12, Designing Applications on the Web
18
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Introduction to JSON and the JSON module

In this section, we will learn how to work with the JSON data format, how to convert Python objects into the JSON data format, and how to convert them back to Python objects in Python 3.7.

JSON corresponds to the way in which objects are defined in JavaScript. JSON is a standard way of representing simple objects, such as lists and dictionaries, in the form of text strings. Although it was originally developed for JavaScript, JSON is language-independent and most languages can work with it. It's lightweight, yet flexible enough to handle a broad range of data. This makes it ideal for exchanging data over HTTP, and a large number of web APIs use this as their primary data format.

Encoding and decoding with the JSON package

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