DotNet Full Stack Dev

Hello, .NET enthusiasts! 👋 In C#, everything begins with a class — it’s the blueprint that defines how objects behave. But not all classes are created equal. Depending on how you want them to behave in memory, inheritance, or instantiation, C# gives you several types of classes: Concrete, Static, Abstract, Sealed, Partial, and Nested . Each one has its own unique purpose, just like different architectural blueprints serve different kinds of buildings. Let’s explore each class type deeply with practical, real-world examples that you can instantly relate to. Concrete Class — The Default Blueprint A concrete class is the simplest form of class in C#. It can be instantiated directly to create objects. It contains both implementation and data, and is the most common type used in day-to-day coding. Example public class Customer { public string Name { get; set; } public string Email { get; set; } public void DisplayInfo() ...

Hello, .NET developers! 👋 When your application starts running tasks in parallel — multiple threads reading, writing, and updating data — one of the biggest challenges is data safety . Traditional collections like List<T> or Dictionary<TKey,TValue> are not thread-safe, meaning concurrent modifications can cause exceptions or corrupt data. To solve this, .NET introduced Concurrent Collections — a set of specialized thread-safe classes under System.Collections.Concurrent . These include ConcurrentDictionary , ConcurrentBag , ConcurrentQueue , and ConcurrentStack . Each serves a different purpose in multi-threaded scenarios, balancing speed, safety, and structure. ConcurrentDictionary — When You Need Key-Based Access ConcurrentDictionary<TKey,TValue> is a thread-safe version of Dictionary<TKey,TValue> . It allows multiple threads to read and write simultaneously without locking the entire collection. Real-T...

Hello, .NET developers! 👋 Every real application shares two silent goals — reusability and portability . Reusability comes from writing code that can handle different types without rewriting logic. Portability comes from turning objects into transferable data so they can move across files, APIs, or networks. In C#, these two ideas are embodied by Generics (for generalization) and Serialization (for object persistence). Understanding Generalization — Making Code Reusable and Type-Safe Generalization means creating a design that works with multiple data types while keeping strong type safety. In C#, the tool for this is Generics . Instead of writing separate versions of the same class or method for different types, you define one version that adapts to any type at compile time. Example: Generic Repository public class Repository<T> { private readonly List<T> _items = new(); public void Add(T item) => _items....

Hello, .NET enthusiasts! 👋 Have you ever noticed how some objects seem to clean themselves up, while others require your explicit call to Dispose() ? Or perhaps you’ve seen the mysterious ~ClassName() syntax and wondered if it’s the same as Dispose ? Welcome to one of C#’s most overlooked yet crucial topics — understanding the difference between Finalize and Dispose . 1) Why Cleanup Even Matters Every application allocates memory, file handles, network connections, or database resources during its lifetime. Managed objects in .NET are automatically cleaned up by the Garbage Collector (GC) , but unmanaged resources — like file streams, sockets, or database connections — don’t play by GC’s rules. That’s when we, as developers, must step in and guide .NET on how to tidy up properly. In short: Finalize is the system’s fallback janitor, and Dispose is your personal cleanup plan. 2) Meet Finalize — The Automatic Cleanup The Finalize() method, also know...

Hello, .NET enthusiasts! 👋 Have you ever encountered that mysterious bug where your background thread refuses to stop even after setting a flag to false? You pause, debug, and realize—no exception, no logic error—just a stubborn loop running forever. Welcome to the world of thread visibility . And the quiet hero behind fixing it? The volatile keyword. 1) The Mystery of Memory Visibility When your application runs on multiple threads, every CPU core may maintain its own little “cache” of variables. A thread could read a copy of a value that’s slightly outdated, while another thread has already updated it in main memory. The compiler and CPU do this for performance — but it can break logic that relies on real-time values. This is where volatile steps in. It’s like telling the compiler, “Hey, don’t optimize this one — always fetch the latest value from main memory.” In simpler terms, volatile ensures every read reflects the current truth, not a cached illusion....