Hashing in JavaScript for Faster Data Retrieval

🚀 Learning by Building: Mastering Frequency Patterns in JavaScript Today I worked on a classic algorithm problem: finding the most frequent element in an array using a HashMap (Map in JavaScript). Here’s the idea: 👉 Traverse the array 👉 Count occurrences using a Map 👉 Track the maximum frequency in real-time This approach is efficient (O(n)) and widely used in real-world scenarios like data analysis, caching, and optimization problems. 💻 Example result: Input: [1, 3, 2, 1, 4, 1, 2, 1, 5, 3] Output: { value: 1, count: 4 } I’m currently practicing patterns and strengthening my problem-solving skills step by step. 📌 Check out my full exercises here: https://lnkd.in/ej4fNeZs Consistency > Talent. #JavaScript #Algorithms #ProblemSolving #SoftwareEngineering #100DaysOfCode #CodingJourney

Day 04 of Learning JavaScript Deep Today’s topic looked simple… but turned out to be powerful Traversing an Array - Visiting each element one by one. Example: let arr = [10, 20, 30, 40]; for (let i = 0; i < arr.length; i++) { console.log(arr[i]); } 🧠 Key understanding: Arrays start at index 0 End at length - 1 One mistake can break logic 👇 for (let i = 0; i <= arr.length; i++) { console.log(arr[i]); // undefined at end ❌ } 💭 Simple thought: “Array is just data… Traversal is how you understand it.” Small concept… big impact 🔥 #Day04 #JavaScript #FrontendDevelopment #LearningDeep #Traversing #Arraybasics

📣 𝗡𝗲𝘅𝘁 𝗕𝗹𝗼𝗴 𝗶𝘀 𝗛𝗲𝗿𝗲! ⤵️ Array Methods You Must Know — Writing Less Loops, More Logic ⚡🧠 Working with arrays using only loops feels repetitive. Modern JavaScript gives cleaner tools — and this blog explains them step by step. 🔗 𝗥𝗲𝗮𝗱 𝗵𝗲𝗿𝗲: https://lnkd.in/gqQKdsAc 𝗧𝗼𝗽𝗶𝗰𝘀 𝗰𝗼𝘃𝗲𝗿𝗲𝗱 ✍🏻: ⎺⎺⎺⎺⎺⎺⎺⎺⎺⎺⎺⎺⎺⎺⎺ ⇢ Adding and removing elements using push, pop, shift, unshift ⇢ Looping arrays cleanly with forEach() ⇢ Transforming data using map() ⇢ Filtering values using filter() ⇢ Combining array values using reduce() ⇢ Traditional loops vs modern method chaining ⇢ Real beginner examples and practice assignments ⇢ Common mistakes like forgetting return in map/filter ⇢ Mental model to choose the right method 💬 If arrays still feel like “write loop → do work → repeat”, this article helps you understand how modern array methods make code cleaner, shorter, and easier to reason about. #ChaiAurCode #JavaScript #ArrayMethods #WebDevelopment #ProgrammingBasics #Beginners #LearningInPublic #100DaysOfCoding

Strengthening Fundamentals: Implementing Selection Sort in JavaScript (Descending Order) Today, I focused on strengthening my understanding of fundamental algorithms by implementing Selection Sort in JavaScript to arrange an array in descending order. Working through the logic step by step provided valuable insight into how sorting algorithms operate internally—particularly the process of identifying elements and performing swaps efficiently without relying on built-in functions. Revisiting these core concepts is a great reminder that a strong foundation in data structures and algorithms is essential for writing optimized and scalable code. You can check out my implementation on my GitHub Looking forward to continuing this learning journey and exploring more advanced problem-solving techniques. #JavaScript #Algorithms #DataStructures #Development #ContinuousLearning #GitHub 😊

Problem: Design HashMap My Approach (Simple Implementation 🛠️): This problem focuses on designing a HashMap from scratch without using built-in map structures I implemented it using a JavaScript object {} 👉 put(key, value) → Insert or update key-value pair 👉 get(key) → Return value if key exists, else -1 👉 remove(key) → Delete the key if present Core Logic: Store data in an object Use direct key access for O(1) operations Use delete to remove entries Complexity: put: O(1) get: O(1) remove: O(1) What can be improved? 👀 👉 This relies on built-in hashing 👉 A deeper implementation would involve: Buckets (array of lists) Handling collisions Custom hash functions Learning takeaway: Understanding how maps work internally is crucial #LeetCode #DSA #HashMap #DataStructures #Algorithms #JavaScript #ProblemSolving #CodingJourney #LearnInPublic

🚦 𝐋𝐞𝐭’𝐬 𝐚𝐝𝐝 𝐬𝐨𝐦𝐞 𝐥𝐨𝐠𝐢𝐜 𝐭𝐨 𝐭𝐡𝐚𝐭 𝐜𝐨𝐝𝐞! I’m excited to share the 3rd blog of my "JavaScript Essentials 101" series. After covering variables, data types and operators, it's time to learn how to guide your code through different paths. This time, we are diving deep into 𝐂𝐨𝐧𝐭𝐫𝐨𝐥 𝐅𝐥𝐨𝐰: 𝐈𝐟, 𝐄𝐥𝐬𝐞, 𝐚𝐧𝐝 𝐒𝐰𝐢𝐭𝐜𝐡. In my blog post, I breakdown exactly how JavaScript processes logic, using beginner-friendly examples that actually make sense. 𝐇𝐞𝐫𝐞 𝐢𝐬 𝐰𝐡𝐚𝐭 𝐰𝐞 𝐜𝐨𝐯𝐞𝐫: ✅ 𝐓𝐡𝐞 "𝐓𝐫𝐚𝐟𝐟𝐢𝐜 𝐑𝐮𝐥𝐞𝐬" 𝐨𝐟 𝐂𝐨𝐝𝐞: A simplified definition of what control flow actually means. ✅ 𝐈𝐟, 𝐄𝐥𝐬𝐞, 𝐚𝐧𝐝 𝐭𝐡𝐞 𝐋𝐚𝐝𝐝𝐞𝐫: Master foundational decision-making (using conditions like checking voting age or grading marks). ✅ 𝐓𝐡𝐞 𝐒𝐰𝐢𝐭𝐜𝐡 𝐒𝐭𝐚𝐭𝐞𝐦𝐞𝐧𝐭: How to use multi-way branching for cleaner, more readable alternatives to long else if chains. ✅ 𝐓𝐡𝐞 𝐁𝐫𝐞𝐚𝐤𝐢𝐧𝐠 𝐏𝐨𝐢𝐧𝐭: Why the break keyword is crucial inside switch. ✅ 𝐓𝐡𝐞 𝐆𝐨𝐥𝐝𝐞𝐧 𝐑𝐮𝐥𝐞: A practical breakdown of exactly when to use switch vs. if-else. Mastering these conditional structures is what transforms a simple "coder" into an "application builder." Stop letting your code run sequentially and start making it intelligent! 𝐑𝐞𝐚𝐝 𝐭𝐡𝐞 𝐟𝐮𝐥𝐥, 𝐝𝐞𝐭𝐚𝐢𝐥𝐞𝐝 𝐠𝐮𝐢𝐝𝐞 𝐡𝐞𝐫𝐞: https://lnkd.in/ghpw9iPc Mentions: Hitesh Choudhary Piyush Garg Chai Aur Code Akash Kadlag Jay Kadlag Suraj Kumar Jha Nikhil Rathore #JavaScript #CodingTips #WebDevelopment #LearnToCode #Programming #CodeLogic #Hashnode #ChaiAurCode #ChaiCode

Your variable names are lying to you.   const fetchWill = () => {}     ⚠ -will implies Promise. Function is not async. Sumerish fixes this. ───── Last week I posted about building a new language protocol. This week I shipped the tooling. 🔌 VS Code extension — syntax highlighting, hover tooltips, autocomplete, chain-order linting 📦 eslint-plugin-sumerish — enforces type contracts on your variable names in CI ───── The color system alone is worth installing for: Every suffix group gets a distinct color. Amber = tense. Red = negation. Blue = plural. Green = social. You scan a Sumerish chain and your eye groups the meaning before your brain reads the words. ───── But the part I'm most proud of: You don't need to learn Sumerish to read it.   Report-view-pl-q? You just understood that. "Could you please look at the report?" The roots stay English. The hyphens make the structure visible. The suffix chain is self-documenting. Learning curve: nearly zero. The only two suffixes you need to guess: -pl and -q. And even those are guessable. ───── Links in the comments — extension, npm, GitHub, demo. #vscode #eslint #typescript #javascript #buildinpublic #devtools #opensource

🚀 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

Day 33: Implementing an array flattener. Focusing on the logic behind converting nested arrays into a single-dimensional structure. While JavaScript provides the flat method, writing a manual implementation using recursion helped clarify how to traverse unknown depths of data. Key takeaways: Recursion base cases: Identifying when an element is a primitive value versus another array. Method overhead: Understanding the difference between built-in methods and custom recursive functions in terms of readability and performance. Data manipulation: Practical applications in handling complex API responses where data is often deeply nested. #JavaScript #WebDevelopment #CodingJourney #Frontend #ComputerScience

🚀 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