Let’s take a closer look at the more popular open-source tools for data engineering, machine learning, and container orchestration.

It’s a familiar situation: you’ve spent the better part of an hour crafting an email with all relevant background information and various suggestions before you hit ‘Send’. A day goes by. Then another. You wonder, “Did no one read it?” The truth is: somebody probably did, but none of the recipients were inclined to go through your magnum opus. Too bad, but not entirely unavoidable. Here is my business email etiquette guide to make it easier for recipients to reciprocate with ‘Reply’.

When you work with the Google Cloud Platform, console.cloud.google.com is your home base outside of the Cloud SDK. It requires a lot of clicking, even with pinned products in the side bar. As a developer I prefer the keyboard to the mouse. So, how can you use the keyboard to boost your productivity in Google Chrome?

Python development without virtual environments is a pain; with virtual environments it quickly gets messy. Here is a shell script to make life with Python easier.

Scalafmt is a popular formatter for Scala. The formatting it produces is not always identical across versions, even with the same configuration file. To ensure all developers on a team format the code in the same way, I’ll show you how to roll your own Scalafmt action container with Docker.

Here’s my list of essential reading for people in the data and machine learning space.