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Python Network Programming Cookbook

Python Network Programming Cookbook

By : Pradeeban Kathiravelu, Gary Berger, Dr. M. O. Faruque Sarker
3.5 (4)
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Python Network Programming Cookbook

Python Network Programming Cookbook

3.5 (4)
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)
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Developing Software-Defined Networks visually with MiniEdit

MiniEdit is a Mininet application in Python that lets you develop Software-Defined Networks in a visual manner. You can create networks visually for a Mininet emulation using MiniEdit, or load an existing Mininet topology (saved as an .mn file) into MiniEdit to edit it. You may also emulate the networks directly through the MiniEdit's GUI, which invokes Mininet as its backend for the emulations.

In this recipe, we will load an existing .mn file to recreate a Python program and emulate the network represented by it.

Getting ready

Download MiniEdit:

$ wget https://raw.githubusercontent.com/mininet/mininet/master/examples/miniedit.py

Now, MiniEdit is ready to run...

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