Good day to all! My release schedule is a bit all over the place, so this is either the first or second post in my Workflow Series that shows you how to get up and running with popular workflow engines. I have another post in the works using Temporal, but the topic of this post is going to be Apache Airflow.

Hello again! I’m really excited for this post; I’m going to be showing off a powerful visualization package called Plot (docs here), which is a JavaScript plotting library that came out of Observable.

Hi. It’s been a while. This post is covering go-redis, which is a popular Redis client for Go. There’s other Redis clients as well as other key-value store backends that you could opt for, but this post is about go-redis. Importantly, this post is not a primer on Redis itself (maybe I’ll have one of those in the future, but this ain’t it). I have a couple use cases in mind that will be the focus of this post:

Hi there. In this post, I’m going to go over a couple snippets of minimal HTTP servers that I use from time to time when I’m tinkering with Go.

Very short post today. Here’s a Vim cheat sheet I discovered years ago; posting it here for easier reference.

G’day everyone! The topic of this post focuses on geography related plotting strategies. Specifically, I’m going to show you how to get started making your own beautiful visualizations in Python so you can avoid the methods that require heftier buy-in like D3 or some dashboarding toolkits. This post is going to loosely follow this excellent guide.

Hello again. To start off the new year, I’m going to do a “Snippets” post focused on using JWTs in Go.

Howdy! The subject of this post is going to be a quick run through of how to authenticate your Go web application for interacting with the Reddit API.

Hi Folks, it’s been a while and I remembered some handy snippets I’d used for Go synchronization a while back and figured it would be a good blog post subject. It’s pretty straightforward so this should be a light read :)

I’d like to start a series outlining snippets and patterns relating to machine learning that I’ve found useful.