Optimized Two Sum Algorithm in JavaScript with O(n) Time Complexity

🚀 Day 921 of #1000DaysOfCode ✨ Shallow vs Deep Copy in JavaScript Understanding how data is copied in JavaScript is crucial — especially when working with objects and arrays. In today’s post, I’ve explained the difference between shallow copy and deep copy in a simple and practical way. You’ll understand how references work, why unexpected mutations happen, and how to avoid common bugs related to copying data. If you’ve ever changed one object and accidentally modified another, this concept will finally make things clear. 👇 Have you ever faced a bug because of shallow copying? #Day921 #learningoftheday #1000daysofcodingchallenge #FrontendDevelopment #WebDevelopment #JavaScript #React #Next #CodingCommunity

📣 𝗡𝗲𝘅𝘁 𝗕𝗹𝗼𝗴 𝗶𝘀 𝗛𝗲𝗿𝗲! ⤵️ Arrow Functions in JavaScript — A Simpler Way to Write Functions ⚡🧠 Regular functions work fine. But when logic becomes small and frequent, typing all that syntax starts feeling heavy. This blog explains arrow functions in a clear, beginner-friendly way — focusing on syntax, mental models, and real usage. 🔗 𝗥𝗲𝗮𝗱 𝗵𝗲𝗿𝗲: https://lnkd.in/gMBAZxX5 𝗧𝗼𝗽𝗶𝗰𝘀 𝗰𝗼𝘃𝗲𝗿𝗲𝗱 ✍🏻: ⎺⎺⎺⎺⎺⎺⎺⎺⎺⎺⎺⎺⎺⎺⎺ ⇢ What arrow functions actually are ⇢ Converting normal functions to arrow step by step ⇢ Basic syntax and parameter rules ⇢ Implicit return — the real magic ⇢ When implicit return does NOT work ⇢ Using arrow functions in map(), filter(), and callbacks ⇢ Common beginner mistakes and how to fix them ⇢ When to use arrow functions vs regular functions ⇢ Practical examples for faster understanding 💬 If functions still feel verbose or repetitive, this article helps you write cleaner and more modern JavaScript. #ChaiAurCode #JavaScript #ArrowFunctions #WebDevelopment #ProgrammingBasics #Beginners #LearningInPublic #100DaysOfCoding

🚨 Confused between the Spread (...) and Rest (...) operator in JavaScript? Many developers mix them up. 💡 They share the same syntax but serve completely different purposes depending on where they’re used. 🔹 Spread Operator • Expands elements from arrays or objects • Commonly used for copying, merging, or passing values • Helps maintain immutability in modern JavaScript • Makes code cleaner and easier to read 🔹 Rest Operator • Collects multiple values into a single array • Mostly used in function parameters or destructuring • Useful when working with an unknown number of arguments • Helps manage flexible and dynamic data ⚡ Quick rule many developers follow: • Spread → Expands values • Rest → Collects values 📌 Same syntax. Two powerful JavaScript features. #JavaScript #WebDevelopment #FrontendDevelopment #Coding #LearnToCode #100DaysOfCode

✨ 𝗗𝗮𝘆 𝟳 𝗼𝗳 𝗠𝘆 𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁 𝗝𝗼𝘂𝗿𝗻𝗲𝘆 🚀 Today I took a deep dive into 𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁 𝗔𝗿𝗿𝗮𝘆𝘀, and it was fascinating to uncover how they really work under the hood. At first glance, arrays seem like a standard data structure, but in JavaScript, they are actually special types of objects. This means:   • They have numbered indices like arrays, but they’re technically keys on an object   • They come with powerful built-in methods like push(), pop(), map(), filter(), reduce()   • Their “length” property updates dynamically based on the highest index Learning this helps me understand why arrays in JS behave differently from arrays in other languages, and why knowing the inner workings is crucial for writing efficient and bug-free code. Every day, as I explore deeper, I realize that mastering the fundamentals is what builds a solid foundation as a developer. Step by step, my understanding of JavaScript is getting stronger and more confident! 💪 #JavaScript #100DaysOfCode #WebDevelopment #LearningJourney #FrontendDevelopment #CodingFundamentals

✨ 𝗗𝗮𝘆 𝟴 𝗼𝗳 𝗠𝘆 𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁 𝗝𝗼𝘂𝗿𝗻𝗲𝘆 🚀 Today I explored 𝗝𝗮𝘃𝗮𝗦𝗰𝗿𝗶𝗽𝘁 𝗢𝗯𝗷𝗲𝗰𝘁𝘀 𝗮𝗻𝗱 𝘁𝗵𝗲𝗶𝗿 𝗠𝗲𝗺𝗼𝗿𝘆 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗶𝗻-𝗱𝗲𝗽𝘁𝗵, and learned how objects are actually structured behind the scenes in memory. I discovered that JavaScript objects are stored in the heap, and the variable holds a reference (pointer) in the stack. But what’s more interesting is that internally, objects have different pointers:   • 𝗠𝗮𝗽 𝗣𝗼𝗶𝗻𝘁𝗲𝗿 → points to the object’s hidden class (structure and layout of properties)   • 𝗣𝗿𝗼𝗽𝗲𝗿𝘁𝗶𝗲𝘀 𝗣𝗼𝗶𝗻𝘁𝗲𝗿 → points to where named properties are stored   • 𝗘𝗹𝗲𝗺𝗲𝗻𝘁𝘀 𝗣𝗼𝗶𝗻𝘁𝗲𝗿 → points to indexed elements (used especially in arrays) This explains how JavaScript engines optimize objects for performance and access speed. Understanding these low-level details helps me see JavaScript beyond syntax — it’s helping me understand how things really work under the hood. Building strong fundamentals step by step. #JavaScript #100DaysOfCode #WebDevelopment #LearningJourney #FrontendDevelopment #ComputerScience

I thought JavaScript arrays worked like C arrays… I was wrong. ❌ I believed: 👉 Arrays are stored in contiguous memory 👉 Indexing is just base + offset 👉 Everything sits neatly in one block But JavaScript doesn’t work like that. Here’s the real mental model 👇 ✅ The variable (arr) lives in the STACK ✅ It stores a reference (not the actual array) ✅ The actual array lives in the HEAP ✅ The array stores: • metadata (like length) • pointer to elements storage Now the interesting part: 👉 Elements can be: * primitives (numbers, booleans) * references (strings, objects) 👉 Strings/objects are usually stored separately in memory 👉 Arrays can be dynamic, sparse, and optimized internally ⚠️ Most important: JavaScript arrays are NOT guaranteed to be contiguous in memory. That means: They are closer to dynamic objects than low-level arrays. 💡 Actual storage depends on the JS engine (like V8), which heavily optimizes things under the hood. I made a diagram to simplify this 👇 Course Instructor: Rohit Negi | Youtube Channel: Coder Army #JavaScript #webdevelopment #buildinpublic #learninginpublic #fullstackdevelopment.

When working with data in JavaScript, arrays are everywhere. But storing values is only half the job. Most of the time we need to process that data. For example: Transform values Remove unwanted items Calculate totals JavaScript provides powerful built-in methods that make this much easier: map() → transform each value in an array filter() → select values that match a condition reduce() → combine values into a single result In my latest blog, I explain these methods using simple examples and show how they compare with traditional loops. https://lnkd.in/dQsy3i78 If you're learning JavaScript fundamentals, these are methods you’ll use almost every day. #javascript #webdevelopment #coding #learninpublic #chaicode

🚀 Arrays are NOT real arrays in JavaScript. That was one of the most interesting things I learned today while studying Arrays in JavaScript. At first, arrays seem simple — just a collection of elements. But under the hood, JavaScript arrays are actually objects with special behavior, not fixed-size contiguous memory structures like in languages such as C++. What I learned about Arrays: • Arrays in JavaScript are mutable • They can store multiple data types • They are dynamic in size Key operations I practiced: • Adding/removing elements → push(), pop(), shift(), unshift() • Looping → classic for loop and modern iteration methods • Searching → indexOf(), lastIndexOf(), includes() • Manipulation → slice(), splice() • Conversion → join() (array → string) • Spread operator → modern and powerful way to copy/merge arrays One important insight: The sort() method can behave unexpectedly with numbers because it sorts values as strings by default. Example: [10, 2, 5].sort() // Output -> [10, 2, 5] To sort numbers correctly, we need a comparison function. To summarize everything, I created a detailed carousel Notes (Notes given by Rohit Negi). Course Instructor: Rohit Negi | Youtube Channel: Coder Army #JavaScript #WebDevelopment #LearningJourney #BuildInPublic #FrontendDevelopment #Fullstackdevelopment #Coding

Just solved the Binary Search problem in JavaScript. Binary Search is a great example of the Divide and Conquer approach. Instead of checking every element, the algorithm looks at the middle of a sorted array and eliminates half of the search space each step. Because the array is divided in half every time, the time complexity becomes O(log n), which makes it much faster than linear search O(n) for large datasets. Small problem, but a great reminder of how powerful algorithmic thinking can be. #JavaScript #Algorithms #BinarySearch #CodingPractice #LeetCode #SoftwareEngineering

Most developers use JavaScript… but don’t truly understand it. Here’s the truth: If you don’t understand: Hoisting Scope Execution Context You’re not writing JavaScript… You’re just guessing Example: Why does this work? console.log(a); var a = 10; And this breaks? console.log(b); let b = 10; The answer lies in how JavaScript executes code internally. Behind every line of JS: Execution Context is created Memory is allocated (Hoisting) Scope chain is formed Then code runs Once you understand this, everything clicks: Closures Async JS Debugging complex bugs This is not “advanced”… This is fundamentals most people skip. Start mastering the engine, not just the syntax. Follow Royal Decode for more real dev insights #JavaScript #CodingJourney #FrontendDeveloper #ProgrammingLife #DevTips #LearnJavaScript #RoyalResearch