Rick Donato

Tip: If you're looking for a faster alternative to Netmiko for CLI scraping, consider using Scrapli. It offers various transport types, such as SSH2, which can significantly enhance speed. Here's a short example 👇 # Install: pip install scrapli from scrapli import Scrapli device = { "host": "

Python Tip: Append the variable with = to also show the variable name when using Python f-string's. Heres an example 👇 x, y, z = 1, 2, 3 f"{x} {y} {z}" # Output: # '1 2 3' f"{x=} {y=} {z=}" # Output: # 'x=1 y=

Ansible + NetBox Tip: Rather than using Ansible to render your Jinja templates, have NetBox render them directly using its Config Template feature! Here's an example of how to use Ansible to trigger NetBox to render the config and then save the configuration locally 👇 --- - name: Render Jinja

Python Tip: Use pathlib to work with paths. Here is an example 👇 from pathlib import Path path = Path('/home/user/file.txt') print(path.parent) # /home/user print(path.stem) # file print(path.suffix) # .txt

Python Tip: To count the number of occurrences within a Python dictionary, use Counter from the collections module. Heres an example 👇 from collections import Counter devices_vendors = { 'device001': 'Cisco', 'device002': 'Juniper', 'device003': 'Cisco', 'device004': 'Arista&

Today I want to share with you 3 of my favourite commands when using Pytest. But first of all... Whats Pytest? For those of you who are new to Pytest (checkout new instructor-led course here): Pytest is a flexible, mature and feature-rich framework for testing Python code. Pytest has been

I have to admit, after adding the final test for checking the Nornir course code repo, it felt good. 56 tests in total. Job done! Well, kind of. After performing a final run and feeling smug that I was getting a screen of green passes, it raised the next question:

In this post, I'm going to show you how to dynamically generate tests within Pytest using, in my opinion, one of its best features - parametrization. But first of all ... What is Pytest? Pytest is a flexible open-source framework for testing Python code. Its key strength lies in