Create a Retro Gaming Handheld with a Raspberry Pi Zero and the Retroflag GPi Case

I’m a huge Raspberry Pi advocate and own more of them than any single person should own. They are cheap, moderately powerful, and are useful for quite a few circumstances.

In a previous tutorial titled, Emulate Classic Video Games On A Raspberry Pi Zero With RetroPie, I demonstrated how to repurpose an old Raspberry Pi Zero to be a gaming console about the size of an Amazon Fire Stick. For $5.00 to $10.00, these devices make retro gaming possible with little setup involved.

Recently, my buddy Mark Smith told me about the Retroflag GPi case, a case with a screen, speaker, and all the expectations of a handheld. This thing looks just like a classic Nintendo Gameboy, but has better hardware and is powered by a Raspberry Pi Zero. It is incredibly awesome.

In this tutorial, we’re going to go a step further. We’re going to take a Raspberry Pi Zero and combine it with a Retroflag GPi case to make a portable retro gaming powerhouse.

Developing Alexa Skills with MongoDB and Golang

The popularity of Amazon Alexa and virtual assistants in general is no question, huge. Having a web application and mobile application isn’t enough for most organizations anymore, and now you need to start supporting voice operated applications.

So what does it take to create something for Alexa? How different is it from creating a web application?

In this tutorial we’re going to see how to create an Amazon Alexa Skill, also referred to as an Alexa application, that interacts with a MongoDB cluster using the Go programming language (Golang) and AWS Lambda.

Share Internet Between macOS and a Raspberry Pi Zero Over USB

If you’re a fan of the Raspberry Pi, you might have stumbled upon my tutorial for interacting with a Raspberry Pi Zero using nothing more than a USB cable. If you recall, the standard Raspberry Pi Zero has no WiFi, no Bluetooth, and no Ethernet.

Alright, so let’s assume that you’re able to interact with your Raspberry Pi Zero. Now what? How do you update it, download new software, or work on some awesome projects that might require internet in some fashion?

Well, you could take a look at my tutorial titled, Three Simple Ways to get Online with a Raspberry Pi Zero IoT Device, or you could share the internet of your host computer without having to purchase any extra hardware.

In this tutorial we’re going to see how to share the internet from our host device, assuming that host is macOS.

Monitoring GPS Data with the NEO 6M and Arduino

I recently wrote a tutorial titled, Configuring Visual Studio Code for Arduino Development, because I’ve been exploring the Internet of Things (IoT). Up until recently I’ve only had hands on experience with Raspberry Pi, but I’ve been expanding my knowledge with Arduino.

I have an Arduino Uno and a GPS module, so I thought it’d be a good idea to demonstrate how to use the two together.

In this tutorial we’re going to see how to monitor a NEO 6M GPS module connected to an Arduino using a few lines of very simple code.

Configuring Visual Studio Code for Arduino Development

I’ve been playing around with an Arduino Uno recently, something new to me since I’ve always only used Raspberry Pi hardware. Many Arduino devices, or at least the Uno like I have are inexpensive and a lot of fun to play around with. However, the development experience out of the box isn’t exactly what I was familiar with or happy about. To develop and push code to an Arduino you need to use the Arduino Desktop IDE. If you’re like me, you’re a one IDE type of developer, so having to work in a different environment is a little less than ideal.

It doesn’t have to be that way when developing with Arduino though.

In this tutorial I’m going to walk you through configuring Visual Studio Code for Arduino development. You’ll be able to write code, deploy to hardware, and monitor the output.

Continuous Integration With GitLab CI And Docker Using A Raspberry Pi

I know I’ve mentioned this before, but I’ve recently started to get serious about my content production and deployment approach on The Polyglot Developer. My goal is to be able to write my tutorials in Markdown, push to GitLab, and have it automatically deployed as a Docker container on my production server. Being able to automate things and take advantage of Docker will definitely improve my productivity in the long term.

So I’ve been playing around with tools on the subject, more specifically GitLab, because that is what I’m using to save a history of the blog. GitLab is a source code repository, but also a whole lot more given its ability to do continuous integration, continuous deployment, and work with Docker directly.

We’re going to take a look at installing GitLab and Docker on a Raspberry Pi, then configuring a GitLab CI Runner to take control of our continuous integration process every time we push some code. While it might sound easy, there are some certain things that aren’t so obvious in the setup and configuration.

Writing Self Hosted Alexa Skills With Golang

A couple of years ago I was lucky enough to win an Echo Dot in a company hackathon. Since then I have been trying to develop Alexa Skills that interest me in my spare time. Before exploring this new field of development, I had been interested in learning and practicing a language that was new to me, Golang (or just Go). Considering Alexa skills are based on web services, one of the area where Go excels, it seemed like a great way to “have my cake and eat it too.”

It was a couple of months ago when I came across a great post by Nic Raboy on writing about writing Alexa Skills with Golang and AWS Lambda which can be found here. Most of the Skills I have developed started before Lambda had first-class support for Go so I am much more comfortable writing Skills using self-hosted web services. Using Lambda for Alexa Skills is definitely a great approach but there are some instances where using your own server might make more sense. If you are looking to reuse an existing server or rapidly prototype an idea then maybe it makes more sense to use this approach.

In this post, I will detail the steps necessary to deploy a web service that can be used to fulfill Alexa Skill requests. To make it easier to compare this approach with using Lambda, the functionality of the Skill will remain almost identical to Nic Raboy’s example. It is only the deployment process that will be changed.