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

Introduction to TextFSM In this blog post, we will look at TextFSM, a tool that helps parse the raw data (semi-structured) we often get from network devices. If you've ever tried to use TextFSM documentation, you might know it can be a bit confusing. Therefore in this post,

Within this post, we are going to explore a new tool that has recently been released, Netpicker. Netpicker is a Python-based testing platform that makes it easy to ensure your network is running compliantly and securely. In this post, we will look at Netpicker's main features, some of

Today, we will look at a new tool to hit the market named Slurp'it. Which defines itself as: a powerful and easy-to-use network discovery solution ... That sounds great, right? But what exactly does this mean? We will look at some of Slurp'it's features, the

✨Packet Coders are proud to announce our new suite of Network Automation Tools. Designed to assist with the learning and use of the common tools and parsers being used in the hashtag#networkautomation eco-system at the moment. Available Tools ⭐ Jinja Renderer - click here ⭐ TTP Parser - click here ⭐ TextFSM