Python for Network Automation

Reviewing Python Essentials

• Version Controlling Code
• Up and running with Python (installing on various platforms)
• Lists
• Dictionaries
• File Input and Output
• Functions
• Methods
• Review of the Standard Library
• Using pip and pypi.org

Python and Data translation

• JSON
  
  • Reading from files
  • Reading from API
• YAML
  
  • Reading from files
• CSV
  
  • Reading from files
• Excel
  
  • Using pyexcel library
  • Using pandas library

Python and RESTful APIs

• RESTful APIs decoded
• Reading attachments
• API keying
• Passing credentials securely
• Standard Library Solution
• 3rd party library solutions

Automating SMTP and Extended SMTP (Email)

• SMTP
• Extended SMTP
• Automating Email solutions
• Setting headers and creating a body
• Attachments
• Google Gmail considerations
• Microsoft considerations

Completing Webforms with Python

• Web Scraping
• Automating front-ends with code
• Selenium for Automation
• Completing webforms
• Filling in data with data from open files
• How to select ‘buttons’
• How to make ‘clicks’

Python and Telnet

• RFC 854 - Telnet Protocol
• Standard Library Solution

Python and SSH

• Library Solution
• Paramiko
  
  • SSH Agents
  • Key exchange and authorization
  • Securing dealing with passwords
  • Configuration
  • SFTP
• Passing commands and capturing responses
• Parsing remote logs

Automating Switches and Routers with Python

• Netmiko
• Push / Pull Configuration
• Retrieve information about devices
• Manage the devices configuration
• Connecting and Running a Command on a Networking Device
• Enable & Global Config Mode
• Configure a Networking Device from a File
• Configuration Backup using Netmiko
• VLAN & VXLAN management
• BGP & OSPF Management
• Solutions for HSRP, VRRP, and GLBP

Automating Networks with Python NAPALM

• Installation
• Tutorials
• Validating deployments
• Supported Devices
• Command Line Tool
• NetworkDriver
• YANG
• napalm-logs
• Integrations

Python and Network Captures

• Wireshark
• TCPDump
• Decoding network captures with Python
• *.pcap files
• *.pcap-ng files
• Parsing network captures
• Regular Expression Library

Optimizations and Security

• Multiprocessing and Multithreading
• Examples of running in parallel
• Cost and Benefit Considerations
• Secure hashes and digests
• MD5, SHA, and OpenSSL Options
• Encrypting content
• Considerations for credentials
• Securely passing input