Hey Go developer!
📊 Think machine learning is only for Python developers? Want to add predictive analytics to your Go service but afraid of math?
While others import sklearn, you’ll learn how to implement linear regression in Go from scratch and take it to production-ready solution.
Hey architect! 📱
Need to build a notification system that works like the big players? Where messages arrive instantly on all user devices, and the server doesn’t crash under load?
Let’s break down how to design a notification service that can handle millions of users and sync state across their devices.
Hey linguist! 👋
Want to teach computers to understand human language? Analyze customer reviews, extract keywords from documents, or determine sentiment of comments?
Natural Language Processing (NLP) is the magic that transforms unstructured text into useful data. And yes, you can do this in Go!
Let’s explore NLP fundamentals, practical algorithms, and real examples of text processing in Go 🚀
Continue readingHey bug hunter! 👋
Data races are the most insidious bugs in concurrent programs. They hide in production, don’t reproduce locally, and corrupt data in the most unpredictable ways.
Fortunately, Go has a built-in race detector that finds these bugs automatically. It’s like an X-ray for your concurrent code!
Let’s explore what data races are, how to find them, and how to fix them using Go Race Detector 🚀
Continue readingHey there! 👋
Are you still manually running tests before every commit? Deploying to production via SSH and praying nothing breaks?
GitHub Actions turns your repository into an automated machine: tests, linters, builds, deployments - all without your intervention.
But most people only use basic features. You can set up matrix testing, dependency caching, conditional deployments, and even automatic releases.
Let’s explore advanced patterns for GitHub Actions in Go projects 🚀
Continue reading