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
"Boosting JavaScript Performance with Memoization"
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🚀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🙌
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🚀 Learning Update: Queue in JavaScript Built a Queue from scratch today! 🖥️ Queue follows FIFO (First In, First Out) — like people waiting in line. Snippet: class Queue { constructor() { this.items = []; } enqueue(val) { this.items.push(val); } dequeue() { return this.items.length ? this.items.shift() : undefined; } peek() { return this.items[0]; } print() { console.log("start >", this.items.join(" > "), "> end"); } } const q = new Queue(); q.enqueue(10); q.enqueue(20); q.enqueue(30); q.print(); q.dequeue(); q.print(); console.log("Peek:", q.peek()); 💡 Key Takeaways: enqueue() & dequeue() in action Queue is great for task scheduling, async operations Practiced logic & abstraction Next up: Linked Lists 🔗 Can’t wait! #JavaScript #DataStructures #Queue #CodingJourney #WebDevelopment
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Think recursion is scary? Reversing an array takes just two lines-and the logic is cleaner than you expect 🎯 Let me break down how recursion reverses an array step by step - this'll change how you think about problem-solving! 💪 𝐓𝐡𝐞 𝐓𝐰𝐨-𝐋𝐢𝐧𝐞 𝐌𝐚𝐠𝐢𝐜: function reverseArray(arr, start = 0, end = arr.length - 1) { if (start >= end) return arr; [arr[start], arr[end]] = [arr[end], arr[start]]; return reverseArray(arr, start + 1, end - 1); } 𝐇𝐞𝐫𝐞'𝐬 𝐭𝐡𝐞 𝐬𝐭𝐞𝐩-𝐛𝐲-𝐬𝐭𝐞𝐩 𝐛𝐫𝐞𝐚𝐤𝐝𝐨𝐰𝐧 𝐭𝐡𝐚𝐭'𝐥𝐥 𝐦𝐚𝐤𝐞 𝐢𝐭 𝐜𝐥𝐢𝐜𝐤: 🎯 𝐁𝐚𝐬𝐞 𝐂𝐚𝐬𝐞 - When start meets or exceeds end, we're done (no more swapping needed!) 🎯 𝐒𝐰𝐚𝐩 - Exchange elements at start and end positions using destructuring 🎯 𝐑𝐞𝐜𝐮𝐫𝐬𝐢𝐯𝐞 𝐂𝐚𝐥𝐥 - Move inward (start+1, end-1) and let recursion handle the rest 𝐖𝐚𝐭𝐜𝐡 𝐢𝐭 𝐰𝐨𝐫𝐤 𝐰𝐢𝐭𝐡 [1,2,3,4,5]: • Call 1: Swap positions 0,4 → [5,2,3,4,1] • Call 2: Swap positions 1,3 → [5,4,3,2,1] • Call 3: start=2, end=2 (base case reached - we're done!) 𝐖𝐡𝐲 𝐭𝐡𝐢𝐬 𝐚𝐩𝐩𝐫𝐨𝐚𝐜𝐡 𝐢𝐬 𝐩𝐮𝐫𝐞 𝐠𝐞𝐧𝐢𝐮𝐬: Recursion handles the "unwinding" naturally. Each call focuses on one swap, then trusts the next call to handle the rest. No loops, no complex indexing - just clean, mathematical thinking that reads like English! 🚀 As a React developer, this same recursive pattern shows up everywhere - component trees, state management, you name it. Master it here and watch those concepts become second nature. Drop a ❤️ if this made recursion click for you! #WebDevelopment #JavaScript #Recursion
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𝐉𝐚𝐯𝐚𝐒𝐜𝐫𝐢𝐩𝐭 𝐍𝐚𝐦𝐢𝐧𝐠 𝐂𝐨𝐧𝐯𝐞𝐧𝐭𝐢𝐨𝐧𝐬 𝐍𝐨 𝐎𝐧𝐞 𝐅𝐨𝐥𝐥𝐨𝐰𝐬 (𝐁𝐮𝐭 𝐒𝐡𝐨𝐮𝐥𝐝) Messy variable names make JS code hard to read, even if it works. In my latest blog, I cover: - 💡 Start and end variable names with letters — not _ or $ - 💡 Snake_case isn’t dead — sometimes it’s the cleanest choice - 💡 Reserved words are more than a restriction; they’re a legacy from 1950s memory limits Tips inspired by 𝐃𝐨𝐮𝐠𝐥𝐚𝐬 𝐂𝐫𝐨𝐜𝐤𝐟𝐨𝐫𝐝 Read it here 👉 https://lnkd.in/d_j6X-8J
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JavaScript Learning – Today's Topic : Understanding Closures Have you ever seen a function “remember” variables even after its parent function has finished running? 🤔 That’s not magic — it’s called a Closure ✨ 🔍 What is a Closure? A closure is formed when an inner function “remembers” the variables of its outer function, even after that outer function has completed execution. In short: Functions remember the environment they were created in. Example 1: Simple Closure Javascript function outer() { let name = "Venkatesh"; function inner() { console.log("Hello, " + name); } return inner; } const greet = outer(); greet(); // Output: Hello, Venkatesh Explanation: • The outer() function returns inner(). • Even though outer() is done executing, the inner function still remembers the name — that’s closure! Example 2: Private Variables (Real-life Use) Javascript function counter() { let count = 0; return { increment: function() { count++; console.log(count); }, decrement: function() { count--; console.log(count); } }; } const myCounter = counter(); myCounter.increment(); // 1 myCounter.increment(); // 2 myCounter.decrement(); // 1 ✅ Here, count is private — you can’t access it directly from outside! Closures help in data hiding and encapsulation (like private variables in OOP). 🧠 Why Closures Are Useful ✅ Maintain state between function calls ✅ Implement data privacy ✅ Used in callbacks and event listeners ✅ Help create factory functions and module patterns In Simple Words A closure is like a backpack 🎒 — when a function travels, it carries the variables it needs from its home environment. #JavaScript #Closures #WebDevelopment #Coding #FrontendDevelopment #LearnToCode #JSConcepts #WebDev #Programming #Developer #CodeNewbie #100DaysOfCode #SoftwareEngineering #JavaScriptTips #CodeWithVenkatesh #WebTech #AsyncJS #TechLearning #InterviewPrep
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💡 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
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Mozilla released an interesting preview of a Graphing algorithm they wrote for displaying generated code blocks from their JIT compiler for #JavaScript https://lnkd.in/dXjiW-jv
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🌲 𝐖𝐚𝐥𝐤𝐢𝐧𝐠 𝐓𝐡𝐫𝐨𝐮𝐠𝐡 𝐭𝐡𝐞 𝐅𝐨𝐫𝐞𝐬𝐭 𝐨𝐟 𝐑𝐞𝐜𝐮𝐫𝐬𝐢𝐨𝐧 — 𝐀 𝐕𝐢𝐬𝐮𝐚𝐥 𝐉𝐨𝐮𝐫𝐧𝐞𝐲 I’ve always found recursion fascinating, not just as a concept, but as a mirror of how we think. We go deeper into problems, reach a point of clarity, and then - like a recursive call - return stronger, lighter, and more complete. Today, I decided to visualize that journey. Instead of reading about recursive calls and stack frames, I built a small forest where every click represents a call, every log a thought in the stack, and every deletion… a quiet return to peace 🍃 💻 Built with HTML, CSS, and JavaScript, this demo shows how a 𝐧𝐨𝐝𝐞 𝐢𝐬 𝐝𝐞𝐥𝐞𝐭𝐞𝐝 𝐢𝐧 𝐚 𝐁𝐢𝐧𝐚𝐫𝐲 𝐒𝐞𝐚𝐫𝐜𝐡 𝐓𝐫𝐞𝐞 - specifically when that node has no child nodes beneath it. Next, I’ll connect it to a 𝐆𝐨 𝐛𝐚𝐜𝐤𝐞𝐧𝐝 𝐀𝐏𝐈, letting users 𝐢𝐧𝐬𝐞𝐫𝐭, 𝐬𝐞𝐚𝐫𝐜𝐡, and 𝐝𝐞𝐥𝐞𝐭𝐞 𝐧𝐨𝐝𝐞𝐬 in real time 🌐 Because sometimes, the best way to understand code… is to watch it breathe. Would you try learning recursion this way? 👇 #WebDevelopment #GoLang #Recursion #Visualization #LearningInPublic #SoftwareEngineering #BinaryTree #FrontendDevelopment
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💡 LeetCode #268 — Missing Number (JavaScript Edition) This problem looks simple, but it’s one of those logic-building gems that teach you how to think mathematically in code. You’re given an array containing numbers from 0 to n, but one number is missing. The task? Find that number efficiently. Here’s the beauty — instead of using loops or sorting tricks, we can use a mathematical formula: 🔹 The sum of first n natural numbers = (n * (n + 1)) / 2 🔹 Subtract the actual sum of the array from this total — and the result is the missing number! function missingNumber(arr) { let n = arr.length; let sum = 0; let total = (n * (n + 1)) / 2; for (let i = 0; i < n; i++) { sum += arr[i]; } return total - sum; } console.log(missingNumber([0, 4, 2, 1])); 🧠 Fun fact: This approach runs in O(n) time and O(1) space — no extra array, no fancy methods, just pure logic. Problems like these make you realize how math and programming go hand in hand. Keep solving small logic-based problems — they sharpen both your problem-solving mindset and your coding confidence. 💪 #JavaScript #CodingJourney #FrontendDevelopment #DeveloperTips #LearnByDoing
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Learning never stops — and today’s focus was on Template Literals in JavaScript ✨ Template literals are an elegant upgrade over traditional string concatenation. They make code cleaner, more readable, and dynamic — especially when dealing with multi-line strings or injecting variables directly inside strings. Example: const name = "Tom"; const course = "MERN Stack"; console.log(`Hello ${name}, welcome to the ${course} learning journey!`); Template literals also make it easy to: 1.Embed expressions directly in your strings (${expression}) 2.Create multi-line strings without messy \n 3.Combine dynamic data effortlessly This small but powerful ES6 feature makes my code not only neater but also more expressive. 🚀 #JavaScript #TemplateLiterals #ES6 #WebDevelopment #CodingJourney #LearnToCode #MERNStack #CodeEveryday #JavaScriptLearning #FrontendDevelopment #DeveloperLife #WomenInTech #100DaysOfCode #TechSkills #CodingCommunity #CleanCode #StringInterpolation #WebDevLearning #TechGrowth
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