Book Image

Python Network Programming

By : Abhishek Ratan, Eric Chou, Pradeeban Kathiravelu, Dr. M. O. Faruque Sarker
Book Image

Python Network Programming

By: Abhishek Ratan, Eric Chou, Pradeeban Kathiravelu, Dr. M. O. Faruque Sarker

Overview of this book

This Learning Path highlights major aspects of Python network programming such as writing simple networking clients, creating and deploying SDN and NFV systems, and extending your network with Mininet. You’ll also learn how to automate legacy and the latest network devices. As you progress through the chapters, you’ll use Python for DevOps and open source tools to test, secure, and analyze your network. Toward the end, you'll develop client-side applications, such as web API clients, email clients, SSH, and FTP, using socket programming. By the end of this Learning Path, you will have learned how to analyze a network's security vulnerabilities using advanced network packet capture and analysis techniques. This Learning Path includes content from the following Packt products: • Practical Network Automation by Abhishek Ratan • Mastering Python Networking by Eric Chou • Python Network Programming Cookbook, Second Edition by Pradeeban Kathiravelu, Dr. M. O. Faruque Sarker
Table of Contents (30 chapters)
Title Page
Copyright
About Packt
Contributors
Preface
Index

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.