Programming

Introduction Hello everyone! 👋 In this article I’ll present you the options pattern in Golang. The pattern is useful when you want to create a function that takes different parameters as an option. Code Study: Building a rocket The following code defines a Rocket struct with 3 fields and a NewRocket function which builds an instance of the Rocket. 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 // Rocket models a rocket. type Rocket struct { name string nose Nose fuelCapacity int } // NewRocket returns a new rocket instance. func NewRocket(name string, nose Nose, fuelCapacity int) Rocket { return Rocket{ name: name, nose: nose, fuelCapacity: fuelCapacity, } } To use the NewRocket function one would have to write something like this: ...

I’ve found a BME680 library written in Rust, but I could not compile it because the author added crates which contained alpha versions as dependencies, and they’ve implemented breaking changes. I’ve forked the library and refactored it so that the code looks better to my taste. You can find it here: https://github.com/dnutiu/bme680-rust

Hello! 👋 The Cancellation Token Pattern article is a pattern inspired by C#’s CancellationToken struct and Golang’s context package. The main idea of the pattern is to allow the user of an API to cancel its operations, but in order for this pattern to work, the API must be written with the cancellation token pattern in mind. To use the pattern, you need a class that represents a cancellation token. Here’s my simple version: ...

Introduction Idempotency is a crucial property in the world of APIs, ensuring that operations can be applied multiple times without changing the result. In this post, we’ll explore six effective strategies to achieve idempotency in your API, drawing inspiration from real-world examples and distributed systems principles. Idempotency Explained The light switch analogy is often used to explain idempotence. Consider a light switch in a room. The operation of turning the light switch on or off is idempotent. If the light is initially off and you flip the switch to turn it on, flipping it again won’t turn the light off again—it stays on. ...

Introduction Hello everyone 👋, This is a quick post about the windows task scheduler, if you’re a Software Developer using Windows the task scheduler is a great tool to automate tasks. I see it as a combination of cron and systemd (if you’re a Linux user you know what I’m talking about). For my personal use case, I use the task scheduler to download more images from the internet to improve a machine learning model used to classify images. To download the images I use a simple Python script and a batch file to run the script. ...

Hello there 👋, This is a showcase of a project I’ve been working on for the past weeks. It’s a simple cross-platform desktop application that allows you to tag images using a machine learning model that I’ve trained. It is written in C# using Avalonia UI, and it uses the FastAI library for the machine learning part, the model is then converted to ONNX. The application is available for Windows, Linux and MacOS. ...

Hello everyone 👋, In this article, we’ll instrument a simple Node.js API with OpenTelemetry traces. OpenTelemetry is the new standard for distributed tracing and metrics. Trace data is used to monitor and troubleshoot complex distributed systems. At the end of this article, we’ll have a Node.js API that is instrumented with OpenTelemetry and we’ll be able to see the traces in Grafana Tempo: The API Let’s start by setting up our NodeJS project by installing the dependencies: ...

Hello everyone! 👋 This is a follow-up post to the previous one, long story short I started taking the course from fast.ai to learn more about Deep Learning. I’ve built a simple Image Tagging model using the Resnet architecture (don’t worry about the paper I did not read it, GitHub Copilot suggested it while writing this blog post). FastAI is a high-level Python library that allows you to train complex ML models really fast and efficiently. After training my model, I’ve exported it into the ONNX format and in this post we’re using the model in a Java application. ...

Hello everyone 👋, I’ve been playing with FastAI and deep learning for a week or so and I’ve decided to combine my passion for software with my passion for photography. I’m working on an app or maybe a library that allows you to generate tags for a photo. For an amateur photographer like me it’s quite useful as I don’t always have inspiration to write tags for my photos and sometimes the tags I write are inconsistent. ...

Hello everyone 👋, In this quick post I’ll show you how to deploy a FastAI model using FastAPI. It’s a follow-up to my previous post from here and it is partially based on this FastAI lecture: Exporting the Model Before we create the API, we need to export the model as a pickle file. ...