Rick Donato

📅 Events * 5-Day Bootcamp (14th–18th July) * An Intro to GenAI and LLMs for Network Automation (members only) – September 24 * Building a ChatBot with OpenAI, MCP, and Netmiko (members only) – October 16 * Front-End Development with React (members only) – November 27 * How to Build a GraphQL API (members only) – November 27 Note:

A quick Panda tip for you... Import nested data into a DataFrame using json_normalize with record_path and meta. Here’s an example 👇 import pandas as pd data = [ { "network_device": { "hostname": "spine1-nxos", "os_version": "9.3.7", "interface&

When writing code, clarity and maintainability are everything. One of the most powerful design principles you can apply to achieve this is CQS - Command Query Separation. What is CQS? CQS (Command Query Separation) means: A function should either do something (a Command) or answer something (a Query) - never

Overview When working with Ansible, you often deal with structured data made up of nested dictionaries and lists. This could be anything from device configurations to network status or inventory data. Accessing the specific piece of data you need can get messy, especially when the structure is deep or repetitive.

Ansible Tip: Use the dict2items filter to loop over dictionaries in Ansible. Here's an example: --- - name: Example of dict2items filter hosts: localhost gather_facts: false vars: interfaces: eth0: ip: "192.168.1.1/24" eth1: ip: "192.168.2.1/24" tasks:

Cisco DevNet Associate: 200-901 DEVASC - New Module Added

net-schema – new release: v1.0.0

Redis Basics – A Hands-On Introduction is live in the Packet Coders Tech Session Library.

June Tech Session Announced: Network Lab Orchestration with ContainerLab.