Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Python Network Programming: Conquer all your networking challenges with the powerful Python language

Buy

Power up your network applications with Python programming

Key Features

  • Master Python skills to develop powerful network applications
  • Grasp the fundamentals and functionalities of SDN
  • Design multi-threaded, event-driven architectures for echo and chat servers

Book Description

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

What you will learn

  • Create socket-based networks with asynchronous models
  • Develop client apps for web APIs, including S3 Amazon and Twitter
  • Talk to email and remote network servers with different protocols
  • Integrate Python with Cisco, Juniper, and Arista eAPI for automation
  • Use Telnet and SSH connections for remote system monitoring
  • Interact with websites via XML-RPC, SOAP, and REST APIs
  • Build networks with Ryu, OpenDaylight, Floodlight, ONOS, and POX
  • Configure virtual networks in different deployment environments

Who this book is for

If you are a Python developer or a system administrator who wants to start network programming, this Learning Path gets you a step closer to your goal. IT professionals and DevOps engineers who are new to managing network devices or those with minimal experience looking to expand their knowledge and skills in Python will also find this Learning Path useful. Although prior knowledge of networking is not required, some experience in Python programming will be helpful for a better understanding of the concepts in the Learning Path.

Table of Contents

  1. Fundamental Concepts
  2. Python for Network Engineers
  3. Continuous Integration for Network Engineers
  4. SDN Concepts in Network Automation
  5. Low-Level Network Device Interactions
  6. APIs and Intent-Driven Networking
  7. The Python Automation Framework - Ansible Basics
  8. The Python Automation Framework - Beyond Basics
  9. AWS Cloud Networking
  10. Working with Git
  11. Sockets, IPv4, and Simple Client/Server Programming
  12. Multiplexing Socket I/O for Better Performance
  13. IPv6, Unix Domain Sockets, and Network Interfaces
  14. Programming with HTTP for the Internet
  15. Email Protocols, FTP, and CGI Programming
  16. Programming across Machine Boundaries
  17. Working with Web Services - XML-RPC, SOAP, and REST
  18. Network Monitoring and Security
  19. Network Modeling
  20. Authentication, Authorization, and Accounting (AAA)
  21. Open and Proprietary Networking Solutions
  22. NFV and Orchestration - A Larger Ecosystem
  23. Programming the Internet
(HTML tags aren't allowed.)

Software Architect's Handbook: Become a successful software architect by implementing effective architecture concepts
Software Architect's Handbook: Become a successful software architect by implementing effective architecture concepts

A comprehensive guide to exploring software architecture concepts and implementing best practices

Key Features

  • Enhance your skills to grow your career as a software architect
  • Design efficient software architectures using patterns and best practices
  • Learn...
Learn Python Programming: The no-nonsense, beginner's guide to programming, data science, and web development with Python 3.7, 2nd Edition
Learn Python Programming: The no-nonsense, beginner's guide to programming, data science, and web development with Python 3.7, 2nd Edition

Learn the fundamentals of Python (3.7) and how to apply it to data science, programming, and web development. Fully updated to include hands-on tutorials and projects.

Key Features

  • Learn the fundamentals of Python programming with interactive projects
  • Apply Python to data...
Big Data Analysis with Python: Combine Spark and Python to unlock the powers of parallel computing and machine learning
Big Data Analysis with Python: Combine Spark and Python to unlock the powers of parallel computing and machine learning

Get to grips with processing large volumes of data and presenting it as engaging, interactive insights using Spark and Python.

Key Features

  • Get a hands-on, fast-paced introduction to the Python data science stack
  • Explore ways to create useful metrics and statistics from...

Hands-On Enterprise Automation with Python.: Automate common administrative and security tasks with Python
Hands-On Enterprise Automation with Python.: Automate common administrative and security tasks with Python

Invent your own Python scripts to automate your infrastructure

Key Features

  • Make the most of Python libraries and modules to automate your infrastructure
  • Leverage Python programming to automate server configurations and administration tasks
  • Efficiently...
C++17 By Example: Practical projects to get you up and running with C++17
C++17 By Example: Practical projects to get you up and running with C++17

Discover the impressive capabilities of C++ and learn the skills you need to implement it in real life

Key Features

  • Leverage the power of C++ language constructs to build effective software
  • Learn about file handling and pointers
  • Build visually appealing...
Principles of Package Design: Creating Reusable Software Components
Principles of Package Design: Creating Reusable Software Components
Apply design principles to your classes, preparing them for reuse. You will use package design principles to create packages that are just right in terms of cohesion and coupling, and are user- and maintainer-friendly at the same time.


The first part of this book walks you through the five SOLID principles
...
©2019 LearnIT (support@pdfchm.net) - Privacy Policy