Xavier Geerinck

For an upcoming Blog Post I wanted to connect my Xbox controller and start reading the input values through a simple node.js script that I could send back to an Arduino Nano. This entire process however seemed to be quite "interesting" to find suitable libraries and long-term supported solutions.

Since I write a lot of Typescript projects, it's quite handy to have an explanation on how to set-up a typescript project.

In an earlier post, I went in more detail how you can utilize Dapr to create a Microservice that communicates over gRPC for quick Inter-Process Communication (IPC).

I decided to do something exciting and challenging for personal growth in my Data & AI area and posed myself the hypothesis: "Can I create a system that with a few publishers but a massive amount of subscribers?" with the constraints of:

Building an IoT Edge module is an important step for any IoT Application that requires on-edge processing to not constantly send data towards cloud (for bandwith, latency as well as processing reasons).

The Internet-Of-Things (IoT) is currently in full roll-out around the world and will only grow with the deployment of 5G, enabling new use cases and collecting more data than ever seen before. An important aspect of this is not only managing the data that you collect, but also correctly filtering and reducing the latency that you experience on-premise. It is not accepted that it takes 10 seconds round-trip from a container ship in the middle of the atlantic ocean, if you need a response for every image of a camera feed at 24fps.

A common problem when working with real-time streams is that you are unaware of the data going in there due to the vast amount of systems connected to it and producing data. Therefor it is interesting to be able to "sample" a stream, where you will connect to the stream with your credentials, wait till an event comes in and then end the connection.

For a new project of mine, I wanted to get the different tweets of multiple people at once and save those as a CSV and JSON for further processing. But how can we do this easily in just a couple of lines?

A common thing in Node.js is to create a REST API consumer that will perform a REST call. Due to the rise of many REST APIs, you might find yourself in the situation that you want to execute 1000s of calls (for example: Azure Cognitive Services).

Introduction

A common practice in Reinforcement Learning is to go from a continuous space towards a discrete space. What does this mean? Take for example a range of numbers between $]-3, 3[$, if we want to represent all the numbers that fit in this range as a state then we would have $\infty$ numbers being represented or $\infty$ states.

So I wanted to write a function for a customer that would trigger a bot. What I thought would be an easy process, turned out to be a lot of debugging and tuning to get everything working. Which is why I decided to write this post to help others get started with Azure Functions.

For one of my customers, I had to be able to connect to an EventHub through the browser, so how did I do this? So we know that EventHub works with the AMQP protocol, so what if we could get this working in the frontend?

1. Introduction

1. Introduction

1. Introduction

A friend of mine had just gotten the question to find every combination for a given array in [1, 2, 3].