50 Essential Programming Terms You Should Know

✅ *🔤 A–Z of Programming* 💻 *A – API (Application Programming Interface)* Interface for programs to communicate with each other. *B – Bug* Error or flaw in a program that causes incorrect results. *C – Compiler* Tool that converts code into executable machine language. *D – Debugging* Process of finding and fixing bugs in code. *E – Exception* An error detected during execution, often requiring handling. *F – Function* Reusable block of code that performs a specific task. *G – Git* Version control system for tracking code changes. *H – HTML (HyperText Markup Language)* Standard language for building web pages. *I – IDE (Integrated Development Environment)* Software that combines tools for coding, testing, and debugging. *J – JavaScript* Language for building interactive web applications. *K – Keyword* Reserved word with special meaning in a programming language. *L – Loop* Structure for repeating a block of code multiple times. *M – Module* File containing reusable code, functions, or classes. *N – Namespace* Container to organize identifiers and avoid naming conflicts. *O – Object-Oriented Programming (OOP)* Paradigm based on objects and classes to structure code. *P – Parameter* Value passed to a function to customize its behavior. *Q – Query* Instruction to retrieve data, often from databases. *R – Recursion* Function that calls itself to solve a problem. *S – Syntax* Rules that define how code must be written. *T – Try-Catch* Error-handling structure to catch exceptions. *U – UI (User Interface)* Part of the program users interact with visually. *V – Variable* Named storage for data in a program. *W – While Loop* Loop that continues as long as a condition is true. *X – XML* Markup language for storing and sharing structured data. *Y – YAML* Readable format used for config files in DevOps and backends. *Z – Zero-based Indexing* Common system where counting in arrays starts at 0.

🚀 Reflection in C#: The Code's Self-Awareness Superpower Ever wondered how an application knows its own version number or finds a specific method without you hard-coding it? The secret is Reflection. In .NET, Reflection allows your code to look in a mirror and inspect its own structure while it’s running. 🔍 What exactly is Reflection? In simple terms, Reflection is the ability of code to access the metadata of an assembly during runtime. Think of it as "dynamic inspection." Instead of the program just following a pre-set script, it can stop and ask, "Wait, what methods do I have? What version am I? What classes are inside this DLL?" 📚 First, Understand Metadata Reflection works because of something called Metadata. Metadata simply means: Information about your code. Imagine a Book 📖 Data • Chapters • Paragraphs • Story content Metadata • Title • Author • ISBN The metadata isn't the story itself, but it describes the story. In C#, metadata describes: • Classes • Methods • Properties • Assemblies Reflection lets us read this metadata during runtime. 🛠️ Practical Example #1 — Getting Application Version Instead of manually updating your version everywhere, you can retrieve it dynamically. using System.Reflection; // Get the executing assembly Assembly assembly = Assembly.GetExecutingAssembly(); // Get version metadata AssemblyName assemblyName = assembly.GetName(); Version version = assemblyName.Version; Console.WriteLine("Current Version: " + version); This is commonly used in: ✔ About pages ✔ Logging ✔ Diagnostics 🛠️ Practical Example #2 — Discovering Methods Dynamically Reflection can also inspect objects and find methods at runtime. Type t = obj.GetType(); // Find method by name MethodInfo method = t.GetMethod("MySecretMethod"); This capability is heavily used by frameworks like: • ASP.NET Core • Entity Framework • Dependency Injection Containers • Testing frameworks ⚡ Why Reflection is Powerful Reflection allows your application to become dynamic and adaptive. 💡 Key Takeaways 🔹 Assembly Class → Get application-level metadata (version, name, etc.) 🔹 Type Class → Inspect object structure (methods, properties, fields) 🔹 Runtime Power → Your code can adapt while the program is running Summary: Reflection turns your code into a detective, allowing it to explore its own metadata to solve complex, dynamic programming problems! 🕵️♂️💻 #CSharp #DotNet #Programming #CodingTips #SoftwareDevelopment #TechSimplified #DotNet #DotNetCore #Programming #Coding #OOP (Object-Oriented Programming) #SystemReflection #Metaprogramming #Metadata #LateBinding #DependencyInjection #SoftwareArchitecture #CleanCode #Middleware #DevCommunity #SoftwareEngineering #CodeNewbie (if explaining the basics) #100DaysOfCode #TechTips #BackendDevelopment

#6 Object-Oriented Programming Object-Oriented Programming is a way of building software around objects real-world things that bundle data and behavior together. Instead of writing a flat list of functions, you model the problem the way you think about it. Class vs Object A class is the blueprint. An object is the actual thing you create from that blueprint. Think cookie cutter (class) → cookies (objects). The 3 pillars of Object-Oriented Programming 1. Encapsulation This enablee the ability to hide an object’s internal data and expose only what’s needed. It protects your data from being changed accidentally and keeps the interface clean. Real-world feel:You use a car’s steering wheel and pedals; you don’t fiddle with the engine wires. 2. Inheritance A child class inherits attributes and behavior from a parent class. It’s the “is-a” relationship that saves you from repeating yourself. Real-world feel: A SportsCar is a Car— it gets all the car basics and adds its own extras. 3. Polymorphism Same method name, different behavior depending on the object. It lets you write code that works on a parent type while the child’s version runs. Real-world feel: car.start(); does something different for an electric car vs a petrol car. Abstraction It’s a form of encapsulation that hides complexity. You expose only the essential features and hide how they work. Real-world feel:You press start() you don’t need to know the ignition sequence. Overriding When a child class provides its own implementation of a method that already exists in the parent. That’s what makes polymorphism work. What does Object Oriented Programming actually build? Large, maintainable systems (banking apps, e-commerce platforms, games) Reusable components you can extend across a project Modular software where each object handles its own data and behavior Languages that use Object Oriented- Programming Java, C#, C++, Python, JavaScript, PHP, Ruby, Kotlin, Swift — basically every mainstream language for building real applications. Object Orieanted Programming is less about syntax and more about thinking in objects. That shift is what makes big projects manageable. Object Orieanted Programming - Flow Chart [Start] ↓ Define a CLASS (blueprint) ↓ Create an OBJECT (instance of the class) ↓ Use ENCAPSULATION ↓ ← private attributes + public methods Use ABSTRACTION ↓ ← expose only what’s needed (e.g., car.drive()) Use INHERITANCE ↓ ← ChildClass inherits from ParentClass Use POLYMORPHISM ↓ ← Same method name, different behavior ↓ [End] #OOP #SoftwareEngineering #Programming #CareerGrowth #Agit2026 #buildinginpublic #WomaninTechnology

This could change your entire perspective on how you code. It is the core component of coding. Some people call it pseudocode, but I prefer “understanding algorithm.” We will be implementing this by starting off with our series in Backend Programming, by looking at 🔸CRUD operations vs. HTTP protocols.🔸 From the halls of History and International Studies to the cutting edge of innovation and technology – this is Me, Myself & I, and welcome to my JOURNEY. When building RESTful APIs, we’ve seen CRUD (Create, Read, Update, and Delete) and HTTP methods like GET, POST, PUT, PATCH, DELETE, etc. in action. It’s important we understand that these two aren’t the same. Though they work in unison, together they power modern web applications. In simple terms, CRUD (Create, Read, Update, Delete) is about data management. It speaks to the database. It defines the operations you perform on records in a database. So, in a database, you insert, select, update, or delete records – right? This is basically what CRUD represents. HTTP methods, on the other hand (GET, POST, PUT, PATCH, DELETE), are about communication. They are like the language your browser or app uses to talk to a server. For example: - GET → “Hey server, show me this file.” - POST → “Hey server, I’m giving you a new file.” - PUT/PATCH → “Hey server, change this file.” - DELETE → “Hey server, remove this file.” In other words, HTTP protocols put CRUD into action; they invoke CRUD operations. Don’t just copy codes. It’s important you understand how they work, even if it takes you longer to comprehend – yes, it’s worth it! Now, let’s delve into the world of imagination in building a simple CRUD project – Student Data App – that stores 10 student records such as Name, Email, Age, and Gender. We’ll start off by creating each student’s information, which will be stored in the database. You have to understand the unique identifier among all of these (Name, Email, Age, and Gender). Two people can bear the same name, be of the same gender, and even share the same age, but most definitely no two persons have the same email address. The email is the unique identifier of all information. That’s why, aside from the ‘Id’ created by the database itself (MongoDB), we always look up each user or student through their email. So, before adding any student, it’s important to check if the student has already been added to the database. You look up that student through the unique identifier (email). If the student exists, then return “student already exists.” But if there is no such student, then add. Don’t just copy codes. Having a good understanding of what is happening is vital to programming. Hey, this is Me, Myself & I, and welcome once again. #webdevelopment #coding #backend #buildinginpublic #learningtocode

🚀 The Pivot: Why My "C# Wins" Post from Last Month was Only Half the Story A month ago, I posted about why C# often wins. I stand by its productivity, but as I’ve gone deeper into Data-Oriented Programming (DOP) and high-performance pipelines, my perspective has evolved. The "C# Advantage" is shrinking, and in some areas, Modern Java is now the superior architect's choice. 1. The "Color" Problem: Java Loom vs. C# Async/Await C#'s async/await was a revolution in 2012, but in 2026, it’s starting to feel like a "viral infection." If one method is async, everything must be async. Java’s Win: With Project Loom (Virtual Threads), I can write clean, sequential code that scales like a reactive stream. No "colored functions," no Task<T> overhead in every signature. It’s "Blocking-Made-Cheap," and it keeps logic pure. 2: The "Death of the DTO" (DOP over OOP) I previously argued C# was better for building data-oriented systems. I was looking at the wrong metrics. If you’re still obsessing over whether Records are better than Classes, you’re still trapped in the OOP mindset. True Data-Oriented Programming (DOP) isn't about better syntax for objects; it’s about moving away from objects entirely. Beyond Records/Structs: In high-performance pipelines, I’m moving toward Immutable Maps and HAMTs. Why? Because it decouples the 'Shape' of the data from the 'Behavior' of the code. The Problem with C#: C# is beautiful, but it is fundamentally 'Type-Heavy.' It wants everything to be a strictly defined Struct or Class. When you go full DOP, you find yourself fighting the compiler to treat data as just... data. The Modern Java Edge: By leveraging Sealed Interfaces only as "Juries" (Result patterns) and keeping the rest of the data in lean, immutable structures, Java (via Quarkus/Mutiny) allows for a much cleaner separation. You aren't building "Models"; you are building Logic Pipelines that act on generic, immutable state." 3. The Quarkus Factor While .NET is fast, Quarkus + Mutiny has redefined what a "lean" backend looks like. By moving away from "Spring Magic" and into a truly reactive, native-compiled DOP approach, the performance gains in Java often outweigh the syntactic sugar of C#. 💡 The New TL;DR: C# is still a productivity powerhouse for general business apps. But for high-performance data pipelines where predictability and concurrency simplicity are the top priorities? Modern Java isn't just catching up—it’s taking the lead. #Java #CSharp #ProjectLoom #DOP #DataOriented #BackendArchitecture #SoftwareEvolution #Performance #Quarkus

𝗦𝗼 𝗠𝗮𝗻𝘆 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸𝘀… 𝗪𝗵𝘆 𝗰𝗵𝗼𝗼𝘀𝗲 .𝗡𝗘𝗧? Choosing the right framework is never simply about performance benchmarks or popularity charts; it is about stability, maintainability, ecosystem maturity, and long-term support. Python frameworks such as Django, Flask, and FastAPI each offer compelling strengths, but they come with trade-offs in asynchronous consistency, structural enforcement, or ecosystem maturity. Node.js provides enormous flexibility and an unmatched package ecosystem, yet places structural responsibility squarely on the developer. Go offers performance and simplicity through compilation and concurrency control, though certain language features and patterns are still evolving. Java with Spring delivers enterprise-grade robustness and structure, but requires careful management of the JVM ecosystem and configuration complexity. This is where C# and .NET distinguish themselves. Unlike many language–framework combinations where versioning, governance, and ecosystem direction are fragmented, .NET operates as a unified platform under a clear and consistent release strategy. The alignment between the C# language and the .NET runtime reduces the uncertainty around compatibility. The predictable cadence of short-term and long-term support releases provides both innovation and stability. Beyond governance considerations, .NET offers a well-rounded architecture: near-native performance, mature asynchronous capabilities, clear and enforced project structure, built-in security, and strong first-party integrations that minimise reliance on third-party dependencies. Developers can choose minimal APIs for lightweight services or structured controllers for enterprise applications, without sacrificing cohesion across the platform. While no framework is without drawbacks, .NET’s blend of performance, structure, tooling, and long-term stewardship makes it a compelling choice for modern API development. It offers not just a way to build applications, but a stable and scalable foundation upon which those applications can evolve confidently over time. Damian Paul Matthews, a senior developer at CBOS, pulls together all these points in his full article: https://lnkd.in/dAskp8FA

My first try at a blog post, so go easy on me. It’s a discussion on the various languages and frameworks to use as an API, and why I believe .NET sticks out. I draw comparisons across most newer and widely used options, but chose not to include Ruby and PHP as their market share has decreased over the years.

🚀 Introduction to Functional Programming (Part:1) Functional Programming is a programming style where we build applications using functions by avoiding changing data and state. Key Ideas of Functional Programming: ✔ Pure Functions:  Functions that always return the same output for the same input ✔ Immutability:  Do not change existing data, create new data instead ✔ First-Class Functions: Functions can be treated like variables ✔ Higher-Order Functions: Functions that take other functions as arguments What are Pure Functions? A pure function is a function that:  1. Always returns the same output for the same input  2. Has no side effects (does not change anything outside the function)  Example:(Pure Function) const add = (a, b) => {  return a + b; }; >> add(2, 3) will always return 5 >> It doesn’t modify any external data Example:1 (Not a Pure Function) let total = 0; const addToTotal = (num) => {  total += num; }; >> Output depends on previous value of total >> It modifies external state  Example:2 (Not Pure Function) const getRandom = () => {  return Math.random(); }; >> Same input → different output >> getRandom() = Unpredictable   Real-World Example 1: E-commerce Cart Total ❌ Not Pure (bad approach) let total = 0; const addToCart = (price) => {  total += price;}; ✅ Pure Function (good approach) const calculateTotal = (prices) => {  return prices.reduce((sum, price) => sum + price, 0);}; calculateTotal([100, 200, 300]);  // 600 >> Same input → same output >> No external changes >> Easy to test  Real-World Example 2: Updating User Data (React Style) ❌ Not Pure const user = { name: "Kavi", age: 21 }; const updateAge = () => {  user.age = 22; }; >> Problem: Directly mutating data (can cause UI bugs in React) ✅ Pure Function const updateAge = (user) => {  return { ...user, age: 22 }; }; const updatedUser = updateAge(user); >> Original object not changed >> Safe for React state updates  Real-World Example 3: Filtering Products ✅ Pure Function const filterExpensiveProducts = (products) => {  return products.filter(p => p.price > 1000); } filterExpensiveProducts([  { name: "Phone", price: 500 },  { name: "Laptop", price: 50000 } ]); >> No mutation >> Just transforms input → output 🔥 Where You’ll Use This >> React state updates >> API data transformation >> Redux / state management >> Data filtering & calculations #JavaScript #FunctionalProgramming #WebDevelopment #CleanCode #FrontendDevelopment #Coding #100DaysOfCode #DeveloperLife

🤔 What is Currying? It’s a functional programming technique where a function with multiple arguments is transformed into a series of functions that each take a single argument. I’ve explored two ways to implement this: 1️⃣ Currying with .bind() Useful when you want to "preset" some arguments of an existing function. javascript let multiply = function(x, y) { console.log(x * y); } let multiplyByTwo = multiply.bind(this, 2); // 'x' is now locked as 2 multiplyByTwo(3); // Result: 6 2️⃣ Currying with Closures The more modern and flexible approach. javascript let addition = function(x) { return function(y) { console.log(x + y); } } let addTwo = addition(2); addTwo(3); // Result: 5 Why is Currying a Game-Changer for Scalable Apps like Naukri? 🧩 Ever wondered how large-scale platforms handle complex filters, custom logs, or reusable logic without repeating code? The secret often lies in Function Currying. Where is Currying used in Real-Time Projects (like Naukri.com)? In a massive application like Naukri.com, currying is used to create specialised functions from generic ones. Here are three real-world use cases: Search Filters (The Most Common): Naukri has a generic getJobs function. Instead of passing all filters every time, they use currying to create specific search functions: const getJobsByLocation = getJobs("Hyderabad") const getJobsInHydByRole = getJobsByLocation("Frontend Developer") Now, the getJobsInHydByRole function is ready to be called whenever a user clicks "Search." Form Validation: Validation logic often repeats. You can curry a validate function: const minLength = (min) => (value) => value.length >= min; const passwordValidator = minLength(8); const userNameValidator = minLength(5); Logging & Analytics: When tracking user behavior (e.g., "Applied to Job," "Saved Job"), you can curry the event type: const trackEvent = (category) => (action) => console.log(category, action); const jobTracker = trackEvent("Job Interaction"); jobTracker("Apply Clicked"); 💼 Real-World Application: The "Naukri.com" Example Imagine you are building a job search filter. Instead of writing a new function for every filter combination, you curry it! ✅ Generic Function: getJobs(Location)(Role)(Experience) ✅ Specialized Function: const getHyderabadJobs = getJobs("Hyderabad") ✅ Ready to Use: getHyderabadJobs("React Developer")("2 years") This makes your code highly declarative, reusable, and easier to test. Are you using Currying in your React or Node.js projects? Let’s discuss in the comments! 👇 #JavaScript #WebDevelopment #Currying #CleanCode #FrontendEngineering #NaukriTech #CodingBestPractices

The Core Principles of OOP : 1- Encapsulation 💊 Encapsulation is a fundamental concept in Object-Oriented Programming (OOP). It refers to the practice of hiding internal data and controlling access to it through properties or methods. In C#, encapsulation is typically implemented using private fields and public properties. Instead of allowing direct access to a variable, we protect it and expose it through controlled accessors ("get" and "set"). This helps maintain data integrity, security, and cleaner code architecture. 📌 Example in C#: class Person { private string name; // Private field (hidden data) public string Name // Public property { get { return name; } // Read the value set { name = value; } // Modify the value } } In this example: - The variable name cannot be accessed directly from outside the class. - Access is controlled through the Name property. - This allows us to add validation or logic when getting or setting the value. 📌 Why Encapsulation Matters - Protects sensitive data - Prevents unintended modifications - Improves maintainability and scalability - Allows validation before updating values Example with validation: public string Name { get { return name; } set { if (!string.IsNullOrEmpty(value)) { name = value; } } } Here, the property ensures that the name cannot be set to an empty value. ✅ In short: Encapsulation means bundling data with the methods that control access to it, making your C# applications more secure, organized, and reliable. #CSharp #DotNet #Programming #OOP #SoftwareEngineering