Python Network Programming – Hands On!: 2-in-1
Python Network Programming – Hands On!: 2-in-1, available at $54.99, has an average rating of 4.65, with 39 lectures, 2 quizzes, based on 11 reviews, and has 194 subscribers.
You will learn about Verify your network: Testing and securing your network with Python. Learn with the help of more efficient and effective Visual examples of network device interaction, playbooks, and desired results. Learn Security and Network automation with Python 2.7 and Ansible 2.5 Become a rock-star and future-proof your skills in the SDN world. Save time and money and accomplish daily tasks more efficiently and effectively. Gain peace of mind in knowing your network is doing what it is supposed to. Create customized scripts that accomplish your unique goals. This course is ideal for individuals who are Network engineers, network administrators, DevOps engineers and Python programmers who want to apply their Python knowledge in the network engineering field. It is particularly useful for Network engineers, network administrators, DevOps engineers and Python programmers who want to apply their Python knowledge in the network engineering field.
Enroll now: Python Network Programming – Hands On!: 2-in-1
Summary
Title: Python Network Programming – Hands On!: 2-in-1
Price: $54.99
Average Rating: 4.65
Number of Lectures: 39
Number of Quizzes: 2
Number of Published Lectures: 39
Number of Published Quizzes: 2
Number of Curriculum Items: 41
Number of Published Curriculum Objects: 41
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Verify your network: Testing and securing your network with Python.
- Learn with the help of more efficient and effective Visual examples of network device interaction, playbooks, and desired results.
- Learn Security and Network automation with Python 2.7 and Ansible 2.5
- Become a rock-star and future-proof your skills in the SDN world.
- Save time and money and accomplish daily tasks more efficiently and effectively.
- Gain peace of mind in knowing your network is doing what it is supposed to.
- Create customized scripts that accomplish your unique goals.
Who Should Attend
- Network engineers, network administrators, DevOps engineers and Python programmers who want to apply their Python knowledge in the network engineering field.
Target Audiences
- Network engineers, network administrators, DevOps engineers and Python programmers who want to apply their Python knowledge in the network engineering field.
Computer Networks, large and small, has become ever increasingly software-driven in the last several years. A typical network engineer faces the challenge of learning a completely new discipline that normally takes years to master.
This course will use Python (one of the most popular programming languages. ), an easy-to-learn, popular first-time-programmer language as the foundation to bridge the gap for network engineers facing the automation challenge, this will help network engineers become experts in using Python for networking. This video uses a project-based approach to teach you how to leverage this easy-to-learn language for network automation tasks. The goal of the course is to master key Python concepts as they are applied in the network engineering context.
This comprehensive 2-in-1 course is a step-by-step tutorial which provides hands-on, interesting examples with clear and friendly explanations that you can follow along with, covers common mistakes, and provides useful tips and in-the-trenches advice. Hands-on TCP / IP protocol suite and Python language. Achieve Network Monitoring with Low-Level Network Device Interaction. Network Modelling through API. Improve network agility with Intent-based Networking.
Contents and Overview
This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.
The first course, Python Network Programming, covers Network Engineering Tasks with Python. 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.
The second course, Hands-on Network Programming with Python, covers creation and automation of your network with Python. This course will use Python, an easy-to-learn, popular first-time-programmer language as the foundation to bridge the gap for network engineers facing the automation challenge, this will help network engineers become experts in using Python for networking. Get familiar with the concepts and work with the Ansible framework in order to achieve your network goals. Monitor your network using Python. Explore ways to solve issues related to the security wheel that treats the network as one single entity instead of dispersing components.
By the end of the course, you’ll master key Python concepts in the network engineering context as well as skills required to accomplish advance network automation using Python.
About the Authors
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Eric Chouis a seasoned technologist with over 17 years of experience. He has helped managed some of the largest networks in the industry while working at Amazon and Microsoft and is passionate about network automation and Python. He shares this deep interest in these fields through his teachings as a Python instructor, blogger, and active contributor to some of the popular Python open source projects. Currently, Eric holds two patents in IP Telephony and is a principal engineer at A10 Networks with a focus on product research and development in the field of security. He’s a successful author of the book Mastering Python Networking which has sold impressive number of copies.
Course Curriculum
Chapter 1: Python Network Programming
Lecture 1: The Course Overview
Lecture 2: Introducing the New World of Network Engineering
Lecture 3: Requirements and Setup
Lecture 4: Integration with Ansible
Lecture 5: Ansible Demonstration
Lecture 6: Automate Changes with Paramiko
Lecture 7: Direct API Calls to Devices
Lecture 8: Continuous Integration with Jenkins
Lecture 9: IP Subnet Calculator
Lecture 10: Detect Network Changes Automatically
Lecture 11: Log Management with Python
Lecture 12: Network Monitoring with Cacti
Lecture 13: NetFlow and sFlow Based Monitoring
Lecture 14: Alerting and Email Notification
Lecture 15: Test Your DHCP Server and Client
Lecture 16: IP Reachability Testing
Lecture 17: OS Fingerprinting
Lecture 18: Create Your Own Attack
Lecture 19: Test Network Speed with Python
Chapter 2: Hands-on Network Programming with Python
Lecture 1: The Course Overview
Lecture 2: Prerequisites and Tools
Lecture 3: Lab Topology and Setup
Lecture 4: Review of Key Networking Concepts
Lecture 5: Review of Key Python Concepts
Lecture 6: Python and Object-Oriented Programming
Lecture 7: Model Network Devices as Objects
Lecture 8: Python Netmiko Library
Lecture 9: Classic Network Device Interaction Examples
Lecture 10: Database Persistence for Device Information
Lecture 11: Network Device API Examples
Lecture 12: Integrated Examples
Lecture 13: Ansible Overview
Lecture 14: Running Your First Playbook
Lecture 15: Cisco Module Example – 1
Lecture 16: Cisco Module Example – 2
Lecture 17: Ansible Vault
Lecture 18: Ansible Templates
Lecture 19: Ansible Custom Modules
Lecture 20: Course Conclusion
Instructors
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Packt Publishing
Tech Knowledge in Motion
Rating Distribution
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- 3 stars: 0 votes
- 4 stars: 5 votes
- 5 stars: 6 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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