This is the code repository for Python Network Programming [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.
Python has become one of the most popular programming languages. This video uses a project-based approach to teach you how to leverage this easy-to-learn language for network automation tasks. The main goal of this course is to help you master key concepts in Python with the aid of interesting projects. You will learn to create exciting Python apps to automate daily networking tasks such as configuring devices, collecting information about the network, testing by client simulations, or network discovery. This course will help you build some mesmerizing network tools with Python, including a Subnet calculator; configuring multiple network devices concurrently via SSH or Telnet; a DHCP client simulator for testing a DHCP server in the local network; network discovery via SNMP; OS fingerprinting; and network attacks via Scapy. This tutorial uses real-life scenarios and use cases to help you build network automation tools with the amazing Python language. By the end of this course, you will be able to take your Python programming skills to the next level for network automation.
- This course will teach you how to get moving in Python, making sure you have the breadth and depth of knowledge that will allow you to begin learning, or working, on your own.
- How to create Graphical User Interfaces for desktop applications or cell phone apps so you can create vivid user experiences.
- How to use create HTTP-based microservices so that you can build efficient and flexible server architectures.
- How to use type annotations and unit tests to catch bugs early and easily, so that your software is reliable.
- How to package your software so that it is easily distributed and shared with others.
To fully benefit from the coverage included in this course, you will need:
This course is targeted at network engineers, network administrators, and Python programmers who want to apply their knowledge in the network engineering field. You need hands-on experience with network gears (virtual or physical) and basic Python knowledge.
By the end of the course, you will have mastered key Python concepts in the network engineering context.
This course has the following software requirements:
Recommended Hardware and Software include:
Ubuntu Linux Virtual Machine
Python 3.4 and above
Network devices (virtual or physical)