JavaScript Bubble Sort Algorithm Implementation

🚀 Solved: Valid Parentheses (Stack Based Problem) Today I worked on a classic problem that looks simple but tests your core logic 👇 🧠 Problem: Given a string containing only (), {}, [] 👉 Check if the parentheses are valid 💡 Approach I used: Used a stack Push opening brackets For closing brackets: Check top of stack If match → pop Else → invalid ⚙️ Key Insight: 👉 Order matters more than count 👉 Stack helps track the sequence correctly 🔥 What I learned: Importance of stack in real problems Handling edge cases (empty stack, mismatch) Writing clean conditional logic 📌 Time Complexity: O(n) 📌 Space Complexity: O(n) 💬 Have you solved this problem differently? Would love to know your approach! #javascript #cpp #datastructures #algorithms #coding #leetcode #interviewprep

🚀 Just Uploaded a New LeetCode Solution! Solved LeetCode #26 – Remove Duplicates from Sorted Array using the Two Pointer Technique in JavaScript. This is a must-know pattern for coding interviews — simple idea, but very powerful when applied correctly. 👉 In this video, I’ve covered: Intuition behind the problem Step-by-step dry run Optimal in-place solution (O(n) time, O(1) space) Clean and easy-to-understand JavaScript code 🔗 Watch here: https://lnkd.in/g-HgkGXQ If you're preparing for coding interviews or strengthening your DSA fundamentals, this one is definitely worth your time. Would love to hear your approach to this problem — drop it in the comments 👇 #leetcode #dsa #codinginterview #javascript #twopointer #programming #softwaredevelopment #coding #developers #learning #jdcodebase

Generate All Unique Subsets Day 3 👈 - First, sort the array - While generating subsets, skip duplicate elements at the same recursion level - This approach uses backtracking to explore all subset possibilities while maintaining uniqueness.  Key Idea Use backtracking to build subsets step by step Add the current subset (path) to the result at every step Skip duplicates using: if (i > start && nums[i] === nums[i - 1]) continue; 👉 Time Complexity: O(2ⁿ) 👉 Space Complexity: O(n) (excluding result) #Subsets #PowerSet #Combinatorics #DuplicateHandling #DFS #Backtracking #Recursion #DSA #Algorithms #Subsets #PowerSet #LeetCode #ProblemSolving #CodingInterview #JavaScript #TypeScript #Angular

#Hello #Connections 👋 #100DaysOfCodeChallenge | #Day60 Project: Dev Languages Accordion UI What I built Today I built a Dev Languages Explorer with an accordion UI, where users can search and filter programming languages interactively. Technologies Used HTML5 CSS3 JavaScript (DOM, Search, Filtering, RegEx) Challenge I faced Combining search + filter + accordion state management together without breaking UI behavior. How I solved it Used efficient filtering logic + state management (Set) and implemented dynamic rendering with highlighted results. Features Search with keyword highlight Filter by categories Expand/Collapse accordion Dynamic results count Live Demo: https://lnkd.in/du8G8X59 Open to feedback and suggestions Code Of School Avinash Gour | Ritendra Gour #FrontendDeveloper #JavaScript #WebDevelopment #100DaysOfCode #DeveloperJourney #Coding #UIUX

JavaScript array methods visualized with Pokémon. I’ve been experimenting with short visual loops using Claude Code and Remotion to explain concepts faster and this one shows some of the most common array methods in practice. Quick reference using real behavior: • filter() selects matching items • map() transforms items • find() returns the first match • findIndex() returns the index of the match • fill() replaces values • every() checks all items • some() checks at least one • concat() merges arrays • includes() checks existence • push() adds to the end • pop() removes from the end • shift() removes from the start • unshift() adds to the start • splice() removes or replaces items Same concepts, just easier to visualize. #javascript #webdev #frontend #coding #programming

🚀 DSA Learning (Realization while solving Top K Frequent Elements) My initial approach was simple: 👉 Count frequency of each number using a HashMap 👉 Then compare frequency with k and push elements into a result array But then I got stuck… ❓ I tried to use .map() directly on the HashMap — and it didn’t work That’s when I realized: - Map is not an array, so array methods like .map() won’t work on it - What actually works: First convert the map into an array 👇 Array.from(map.entries()) Then: ✔️ sort by frequency ✔️ take top k ✔️ extract elements That small shift in understanding made the whole problem click 💡 #DSA #JavaScript #CodingJourney #LeetCode

A random yet interesting learning update.... Dove deeper into Javascript and explored one of its most powerful (and often misunderstood) concepts — Prototypal Inheritance. Understanding how objects inherit properties and methods through prototypes really changed the way I think about code structure and reusability. It’s fascinating how JavaScript handles inheritance so differently compared to traditional class-based languages. Excited to keep building and learning more every day! #JavaScript #WebDevelopment #LearningJourney #Coding #FrontendDevelopment#chaiaurcode

What is the difference between let, var, and const? `var`, `let`, and `const` are used to declare variables in JavaScript, but they behave differently. `var` is the older way and has function scope, which can lead to unexpected behavior. It also allows redeclaration and can be updated freely. `let` is block-scoped, meaning it only exists within the block where it’s defined. It can be updated but not redeclared in the same scope, making it safer than `var`. `const` is also block-scoped but cannot be reassigned after it’s declared. It’s used for values that should not change. Overall, `let` and `const` are preferred in modern JavaScript. #webdeveloper #tech #coding #programming

You don’t need 5 lines to extract values from an object. If you’re still doing that, you’re writing bad JavaScript. There’s a cleaner way: 👉 Destructuring Less repetition. Cleaner code. Easier to read. Once you start using it, going back feels wrong. 🔗 Read here: https://lnkd.in/dw9j7a6t What should I cover next — Spread/Rest or Promises? #javascript #webdevelopment #coding

Solved Leetcode 497 - Next Greater Element I Here’s the key insight: Use a monotonic decreasing stack. Traverse from right to left. For each element, remove all smaller elements from the stack. The top of the stack becomes the next greater element. To make it efficient for queries, store the results in a map: number → next greater element This reduces the complexity from O(n²) to O(n). What clicked for me was this: The stack is used for computation, and the map is used for fast retrieval. Once you understand this separation of roles, a whole category of problems becomes easier: Next Greater Element Previous Greater Element Stock Span Daily Temperatures #DataStructures #Algorithms #JavaScript #CodingInterview #LeetCode #ProblemSolving