Book Image

Python Network Programming Cookbook - Second Edition

By : Pradeeban Kathiravelu, Gary Berger, Dr. M. O. Faruque Sarker
Book Image

Python Network Programming Cookbook - Second Edition

By: Pradeeban Kathiravelu, Gary Berger, Dr. M. O. Faruque Sarker

Overview of this book

Python Network Programming Cookbook - Second Edition highlights the major aspects of network programming in Python, starting from writing simple networking clients to developing and deploying complex Software-Defined Networking (SDN) and Network Functions Virtualization (NFV) systems. It creates the building blocks for many practical web and networking applications that rely on various networking protocols. It presents the power and beauty of Python to solve numerous real-world tasks in the area of network programming, network and system administration, network monitoring, and web-application development. In this edition, you will also be introduced to network modelling to build your own cloud network. You will learn about the concepts and fundamentals of SDN and then extend your network with Mininet. Next, you’ll find recipes on Authentication, Authorization, and Accounting (AAA) and open and proprietary SDN approaches and frameworks. You will also learn to configure the Linux Foundation networking ecosystem and deploy and automate your networks with Python in the cloud and the Internet scale. By the end of this book, you will be able to analyze your network security vulnerabilities using advanced network packet capture and analysis techniques.
Table of Contents (15 chapters)

Introduction

This chapter explores an early and important aspect of network systems development—network modeling. Specifically, it addresses the simulations and emulations of networks with Python-based projects.

First we will look into network simulations that can model very large systems within a single computer. We will discuss ns-3, a network simulator originally written in C++ with Python bindings, making it easy to simulate networks in Python.

The chapter goes on to network emulation that indeed models resources one-to-one. It discusses Mininet, the most popular network emulator developed in Python. We will further discuss the extensions to Mininet, such as MaxiNet and Mininet-WiFi. The chapter concludes with how to extend existing simulators and emulators and to build a cloud network leveraging these platforms.