How JavaScript's Garbage Collection Works

𝐅𝐫𝐨𝐦 𝐂𝐨𝐝𝐞 𝐭𝐨 𝐂𝐚𝐥𝐜𝐮𝐥𝐚𝐭𝐢𝐨𝐧 𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐋𝐨𝐠𝐢𝐜 𝐓𝐡𝐚𝐭 𝐖𝐨𝐫𝐤𝐬 Every great programmer starts with small projects that teach big lessons. For me, coding a calculator using JavaScript was one of those moments. At first glance, it seems simple numbers, operators, and a display. But once you dive in, you realize how much logic and structure go into making it work smoothly. From handling multiple operations to managing user input and updating the display in real-time, every function had to play its part perfectly. What I love about projects like this is how they reveal the true power of programming: turning abstract logic into a real, interactive experience. It’s not just about syntax it’s about problem-solving, design thinking, and creating flow between user and machine. Through this project, I strengthened my understanding of: • DOM manipulation — connecting code to the interface. • Event handling — responding to user clicks dynamically. • Logic building — managing multiple conditions and results accurately. Small steps like these build the foundation for much bigger systems. Every coder starts somewhere, and each project no matter how small sharpens the skills that shape future innovation. “Code is like math with creativity it’s logic in motion.” What’s the first project that made you fall in love with coding? #JavaScript #WebDevelopment #FrontendDevelopment #SoftwareEngineering #CodingJourney #Innovation #LearningByDoing #EngineeringInAction

#Day48 of Sheryians Coding School🚀 1️⃣Self Study: Form & Form Validation Learned how to validate user inputs in forms using JavaScript. Understood why HTML validation alone is not reliable as it can be bypassed. Used events + conditions + regex to validate email, password, etc. Practiced using regex.test() to check if input meets validation rules. Explored validation logic like length, special characters, alphabets, numbers, etc. 2️⃣Self Task: Form + Email Validator Project Built a mini form validation project. Implemented real-time validation with helpful messages. Focused on writing logical checks in a structured way. Tried to match the validation experience seen in real websites. Source: https://lnkd.in/d7KHEr_h Live: https://lnkd.in/dwkunHKY 3️⃣Live Class: JS Functions (Introduction) Practiced function-based logic questions. Learned what functions are and why they are important. Understood Function Declaration vs Function Expression. Learned the difference between parameters and arguments. Got an early intro to Recursion. 🌟 Key Highlights: Gained confidence in building real-world input validation logic. Started thinking about code structure and user experience, not just output. Understood how functions help avoid repeated code and improve cleanliness. Feeling more comfortable connecting logic + UI behavior together. #update #progress #coding #journey #frontend #development #improving #javascript #forms #validation

Day 10 of #30DaysOfJavaScript: Boosting Performance with Memoization! ⚡️ Today, I dived into the powerful optimization technique of memoization, where a function remembers previous results to avoid redundant calculations. I built a generic memoize function that works seamlessly with different types of functions like sum, fib, and factorial. This approach not only improves efficiency but also sharpens the way recursive and repetitive logic is handled. Here’s a glimpse of my implementation: javascript function memoize(fn) { const cache = {}; let callCount = 0; function memoized(...args) { const key = JSON.stringify(args); if (!(key in cache)) { cache[key] = fn(...args); callCount++; } return cache[key]; } memoized.getCallCount = () => callCount; return memoized; } Why memoization matters: It drastically reduces the number of expensive function calls, especially in recursion-heavy scenarios. Using JSON.stringify to serialize arguments allows flexibility and accuracy in caching. Tracking cache misses through call counts offers valuable insight into optimization gains. This challenge reinforced the importance of smart caching and effective state management—skills essential for writing high-performance JavaScript in real-world applications. Feeling motivated to transform every challenge into learning milestones! If you’re on a similar learning path, let’s connect and grow together. #JavaScript #Memoization #CodeOptimization #LeetCode #WebDevelopment #Programming #CodingChallenge #ContinuousLearning

Environment Variable ERROR My Quick Fix. when i was working with one of my font end project there was time where i need to get a login url from the back end i though hmmm..... i dont need slap this in to href as it was so i though using environment variable would be nice it makes abstract form others then i fall into dark pit where the when i put into a variable and put into Link tag's attribute href it says this variable is undefined.. this is what i had trying const process.env.PUBLICNEXTAUTHURL = loginUrl; <Link href= loginUrl>login </Link> Login Error: loginUrl is undefined! My first instinct? "Yeah, it's gotta be async! It just needs time to load." So I put this into an async function, though, try as I might, there is no Promise here. Then I slap this error to AI, and it occurred to me that there was a very simplistic type-safe solution: Type Assertion. You may remove the non- null assertion operator ( !) and virtually scream at TS , "Yo, you better believe me this is NOT UNDEFINED" (i don't know what happen in the back just assume okay!). Only that one-character touch was necessary const loginurl = process.env.PUBLICNEXTAUTHURL!; Adding the ! tells TS it’s safe <Link href={loginUrl}>Login</Link> The pointing out of the exclamation mark is informing us that we are sure that it is a string(NOT UNDEFINED), and stops generating compile-time errors. Tiny trick, huge time saver. An excellent note to make yourself familiar with the type system rather than assuming it is a runtime problem. #Typescript #NextJS #WebDevelopment #Coding #Programming #SoftwareEngineering #debugging.

🚨 The #1 JavaScript mistake that's secretly slowing you down! 💡 I used to chain `.map().filter().map()` everywhere thinking I was writing "clean code." Then one day, my colleague showed me the performance monitor on a large dataset. 47ms vs 8ms. I was mortified. Here's the fix that changed everything: // ❌ Before: Multiple iterations const result = users  .map(u => u.age)  .filter(age => age >= 18)  .map(age => age * 2); // ✅ After: Single iteration const result = users.reduce((acc, u) => {  if (u.age >= 18) acc.push(u.age * 2);  return acc; }, []); 🎯 One pass. Same result. 5x faster on large arrays. The lesson? Elegant ≠ Efficient. Always profile your code with real data before optimizing for "readability." 🔥 Which coding myth would you like busted next? Follow for more bite-sized tech wisdom that actually moves the needle. #JavaScript #WebDev #Coding #TechTips #FrontEndDev #PerformanceOptimization #CleanCode

#7: Control Flow & Iterations in JavaScript! 🚀 Just wrapped up another core chapter of my JS journey — understanding how decisions and loops drive program logic. Here’s what I explored today: 🔹 Control Flow & Conditional Statements ✅ if, else if, else — mastering decision-making ✅ Comparison operators (===, !==, >, <, etc.) ✅ Logical operators (&&, ||) for combined conditions ✅ Shorthand execution methods for cleaner code 🔹 Switch Statements ✅ Cleaner multi-condition handling ✅ Importance of break and default 🔹 Truthy & Falsy Values ❌ Falsy: false, 0, "", null, undefined, NaN ✅ Truthy surprises: "0", "false", " ", [], {}, function(){} 💡 Learned: Check arrays with .length & objects using Object.keys() 🔹 Advanced Operators ✅ Nullish Coalescing (??) → safer than || for null/undefined ✅ Ternary Operator → condition ? true : false (clean & compact) 🔹 Loops & Iterations ✅ for loops (including nested + multiplication tables) ✅ while & do-while (executes at least once!) ✅ break to exit | continue to skip 📍 Key Insights: ✔ Use === for strict equality ✔ [] is truthy → always check .length ✔ ?? > || when dealing with null/undefined ✔ Ternaries keep logic short but readable The deeper I go into JavaScript, the more powerful and enjoyable it becomes! 💪 💬 Let’s discuss — which control flow concept took you the longest to grasp? 👇 #JavaScript #Programming #WebDevelopment #CodingJourney #LearnToCode #SoftwareDevelopment #TechSkills

💡 Encapsulation & Polymorphism — Bringing Structure to JavaScript After getting comfortable with Classes, I dived into how Encapsulation and Polymorphism bring real shape and discipline to Object-Oriented Programming (OOP) in JavaScript. 🚀 🔒 Encapsulation taught me the importance of protecting and controlling data — using private fields (#) and getters/setters to manage access. It’s like setting healthy boundaries inside your code — clean, safe, and predictable. 🎭 Polymorphism showed me the power of flexibility — where different classes can share the same method names but behave differently based on context. It’s creativity meeting structure — and it makes your code truly adaptable. ✨ Together, they transformed my code from scattered logic into a well-organized, reusable system that actually feels designed. 💬 “Good code isn’t just about working — it’s about being organized, reusable, and scalable.” #JavaScript #OOP #Encapsulation #Polymorphism #FrontendDevelopment #CleanCode #CodingJourney #LearnInPublic #Developers

🚀Today I learned: How JavaScript executes inside the browser! We all write JavaScript every day — but have you ever wondered what actually happens behind the scenes when we run our code? Here’s what I learned👇 🔹Step-by-step explanation: 1️⃣Source Code → We write JavaScript in a .js file — just plain text that browsers can’t execute directly. 2️⃣Parsing → The JavaScript engine reads the code, checks for syntax errors, and prepares it for further processing. 3️⃣AST (Abstract Syntax Tree) → The code is converted into an AST, a structured tree that represents the program logic in a machine-understandable format.🌳 4️⃣Interpreter → The AST is passed to the interpreter, which converts it into bytecode for quick startup and execution. 5️⃣Execution & Profiling → While executing bytecode, the engine tracks which parts of the code run most frequently — known as “hot” code. 6️⃣Optimizing Compiler (JIT) → The JIT (Just-In-Time) compiler takes that hot code and compiles it into machine code, making it much faster.⚡ 7️⃣Machine Code Execution → Finally, this optimized machine code runs directly on the CPU, giving JavaScript near-native speed and efficiency. 🧠In simple words: JavaScript uses both an Interpreter (for quick startup) and a JIT Compiler (for optimized performance). Really fascinating to see how much happens behind the scenes every time we run a simple JS file!✨ #TodayILearned #JavaScript #WebDevelopment #Frontend #Programming #V8Engine #LearningEveryday #10000coders #SudheerVelpula Special thanks to Sudheer Velpula Sir and @10000 Coders for the amazing learning journey and constant guidance🙌

Day 7 of #30DaysOfJavaScript: Solved the Function Composition Challenge! 🎉 Today's problem involved creating a function that composes an array of functions and applies them from right to left, just like mathematical function composition 𝑓(𝑔(ℎ(𝑥))) f(g(h(x))). Using JavaScript's reduceRight, I built a clean, efficient solution that handles composing any number of functions—even when the array is empty (returning the identity function). This challenge sharpened my understanding of higher-order functions and functional programming concepts. Here’s a quick look at the core idea: js const compose = (functions) => (x) => functions.reduceRight((acc, fn) => fn(acc), x); Example: Input functions: [x => x + 1, x => x * x, x => 2 * x] Input value: 4 Output: 65 Excited to keep growing and sharing every step in this coding journey! #JavaScript #LeetCode #FunctionalProgramming #CodeChallenge #WebDevelopment #LearningJourney #Programming

It’s not always the complex algorithms that break systems , sometimes it’s a single misplaced string. The smallest things in code often make the biggest impact. That’s the difference between something that works and something that’s well-engineered. I wrote a short blog about one of those small but important habits avoiding “magic strings” in code. 🪄 “The Problem with Magic Strings - and How to Avoid Them” Read it here 👉 https://lnkd.in/gQUBC3TS #CleanCode #SoftwareEngineering #JavaScript #CodingBestPractices #DeveloperMindset #Maintainability