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Learn C# records vs classes vs structs with real examples. Master when to use each type in 2026 with best practices, pitfalls, and performance tips. Start now! One of the most common questions C# developers ask in 2026 is simple to state but tricky to answer: C# records vs classes vs structs — which one should you actually use? Since records arrived in C# 9 and matured through C# 10, 11, 12, and 13, the decision is no longer just "value type or reference type." You now have three first-class options for modeling data, and picking the wrong one leads to subtle bugs, poor performance, and code that's painful to maintain. In this tutorial, we'll break down the difference between records, classes, and structs in C#, show practical runnable examples, and give you a clear decision framework so you always pick the right type. By the end, you'll understand not just how each works, but why you'd choose one over the others. The Quick Answer: C# Records vs C...

Learn event-driven architecture in C# with practical examples. Master events, the mediator pattern, and message queues to build loosely coupled, scalable .NET apps. Event-driven architecture in C# is one of the most powerful ways to build scalable, maintainable, and loosely coupled systems in .NET. Instead of objects calling each other directly and tangling your codebase into a web of dependencies, components communicate by raising and reacting to events. In this tutorial, you'll learn exactly how event-driven architecture works in C#, why it matters, and how to implement it step by step — from native .NET events to the publish-subscribe pattern, the mediator pattern, and message queues. Whether you're a beginner searching for how C# events work, an intermediate developer looking for best practices, or a senior engineer designing distributed systems, this guide gives you runnable code and the reasoning behind every decision. What Is Event-Driven Architecture in C#? ...

Learn how to integrate Azure OpenAI GPT-4o into your C# .NET application with this step-by-step tutorial. Code examples, best practices & tips. Start now! If you want to build smart, AI-powered features into your applications, learning Azure OpenAI C# integration is one of the highest-return skills you can pick up in 2026. With the official Azure OpenAI SDK for .NET, you can call GPT-4o — OpenAI's flagship multimodal model — directly from your C# code in just a few lines. In this tutorial, you'll learn how to integrate GPT-4o into your .NET application, configure authentication securely, stream responses, and apply production-ready best practices. Whether you're a beginner searching "how to use Azure OpenAI in C#", an intermediate developer looking for best practices, or a senior engineer designing a scalable AI service, this guide covers everything end to end with runnable code examples. Why Use Azure OpenAI with C# Instead of the Public OpenAI A...

Learn C# nullable reference types to eliminate null reference exceptions for good. Practical examples, best practices, and pitfalls. Start writing safer C# today. If you have written C# for any length of time, you have met the most infamous runtime error in the .NET ecosystem: the dreaded System.NullReferenceException . Sir Tony Hoare, who introduced the null reference in 1965, famously called it his "billion-dollar mistake." The good news is that modern C# gives you a powerful tool to wipe out this class of bug at compile time. In this tutorial you will learn exactly how C# nullable reference types work, how to enable them, and how to use them to eliminate null reference exceptions for good. This guide is written for everyone: beginners searching for how to avoid null in C# , intermediate developers looking for nullable reference types best practices , and senior engineers who want to master advanced nullable annotation techniques. Every example below is runnable on ...

ML.NET tutorial for 2026 — learn machine learning in C# step by step. Build, train & deploy your first ML.NET model with runnable code. Start now! If you are a .NET developer who wants to add artificial intelligence to your apps without learning Python, this ML.NET tutorial is exactly what you need. ML.NET is Microsoft's free, open-source, cross-platform machine learning framework that lets you build, train, and ship production models entirely in C#. In this 2026 guide, you will build your first machine learning model in C# from scratch — a working sentiment analysis classifier — and understand why each step matters, not just how to copy and paste it. By the end of this ML.NET tutorial you will know how to load data, train a model, evaluate its accuracy, save it, and reuse it for predictions — the exact workflow used in real-world machine learning in C# projects. Why Choose ML.NET for Machine Learning in C#? For years, "machine learning" was almost ...

Learn how to use AWS DynamoDB with C# in .NET. Step-by-step tutorial with code examples, best practices, and serverless tips. Start building today! If you are building serverless or cloud-native applications, learning how to use AWS DynamoDB with C# is one of the most valuable skills you can add to your .NET toolkit. DynamoDB is Amazon's fully managed NoSQL database that delivers single-digit millisecond latency at any scale, and it pairs perfectly with .NET workloads running on AWS Lambda, ECS, or EC2. In this DynamoDB C# tutorial, you will learn how to connect, model data, and run CRUD operations using the AWS SDK for .NET — plus the best practices and common pitfalls that trip up most developers. By the end, you will understand not just how to call DynamoDB from C#, but why the API is designed the way it is, so you can make smart decisions in production. Why Use AWS DynamoDB with C# and .NET? Relational databases like SQL Server are excellent for normalized, relat...