Priority Order in JavaScript Day 216 Today Today I learned about the Priority Queue. It is a very important concept in data structures. In a normal queue the rule is first in first out. But in a priority queue the element with the highest priority is processed first. Think of a hospital emergency room. A patient with a serious injury gets treated before someone with a cold even if the person with the cold arrived earlier. This is exactly how a priority queue works. I learned that there are two ways to implement this. You can use an array and sort it every time but that is slow. The best way is using a Heap. Using a Heap makes adding and removing elements very fast because the time complexity is log n. JavaScript does not have a built in priority queue like some other languages. This means we have to build it ourselves using classes. This is a great way to practice logic building and understand how things work under the hood. A very helpful tip for interviews is that if a question asks for the Kth smallest or Kth largest element you should think of using a priority queue or a heap. It makes the solution much more efficient. Today I solved these LeetCode questions: 215 Kth Largest Element in an Array 703 Kth Largest Element in a Stream #DSAinJavaScript #365daysOfCoding #JavaScriptLogic #LeetCode #DataStructures #PriorityQueue #CodingInterview #ProgrammingDaily #SoftwareEngineering #TechLearning #WebDevelopment #LogicBuilding #ProblemSolving #JavaScriptDev #JSCode #ArrayLogic #HeapDataStructure #AlgorithmDesign #CodingChallenge #BinaryHeap
JavaScript Priority Queue Implementation with Heap
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🚀 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
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🚦 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
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Built an efficient LRU Cache from scratch using JavaScript. Key highlights of the implementation: Designed a custom Doubly Linked List for O(1) insertions and deletions Used a HashMap to achieve constant-time access Ensured optimal eviction strategy by always removing the least recently used node Maintained strict O(1) time complexity for both get and put operations Performance: Runtime: 102 ms (faster than ~57% of submissions) Memory: 113.67 MB This problem reinforced how combining data structures (HashMap + DLL) leads to highly optimized systems — a pattern widely used in real-world caching systems like databases and browsers. Continuing to focus on writing clean, efficient, and scalable code. #DataStructures #Algorithms #JavaScript #SystemDesign #Coding
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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
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Difference between fundamental data structures used in JavaScript: - If you need to access items by index, you should probably be using an Array. - If you need to access items by key, you should probably be using an Object. - If you need to access items by value, you should probably be using a Map. - If you need to store unique items and perform operations on that collection, you should probably be using a Set. #javascript #concepts #developer #coding #engineer
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🚀 Day 5/100 — #100DaysOfCode Today was all about strengthening my JavaScript fundamentals 💻 Instead of rushing ahead, I took time to revise the core concepts that form the backbone of programming. 📚 What I revised: 🧠 Core Concepts • Variables & Declarations • Data Types & JavaScript Type System ⚡ Logic Building • Operators • Control Flow (if-else, conditions) 🔁 Iteration • Loops (for, while) ⚙️ Functions • Writing reusable and structured code 📦 Data Structures • Arrays — handling collections of data • Objects — organizing data in key-value form 💡 Key Insight: Strong fundamentals make complex problems easier to solve. 🔥 Day 5 complete. Staying consistent and building step by step. #JavaScript #WebDevelopment #CodingJourney #BuildInPublic #Consistency
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Speed Up Your Code with Hashing Day 218 Today Today I learned about Hashing in JavaScript. Hashing is like a shortcut for your data. Instead of looking through a long list one by one which takes O(n) time, hashing lets you find things almost instantly in O(1) time. Think of it like a library where every book has a special code to find its shelf directly. In JavaScript, we use Objects, Maps, and Sets to do this. [Image comparing time complexity of Array search vs Hash Map search] Hashing helps with counting how many times a word appears, finding duplicates, and solving sum problems. It takes extra memory but saves a lot of time. If you see a problem with words like frequency, unique, or duplicate, hashing is usually the best answer. #DSAinJavaScript #365daysOfCoding #JavaScriptLogic #LeetCode #Hashing #DataStructures #CodingChallenge #WebDevelopment #Algorithm #ProblemSolving #MapAndSet #SoftwareEngineering #JSPerformance #InterviewPrep #TechLearning #LogicBuilding #CodeDaily #ProgrammingLife #Optimization #CodingJourney
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#2: Data Binding Basics Forget manual DOM manipulation! Let's get data moving dynamically in Angular with Data Binding. Here is your quick cheat sheet on the 4 key types: 🔁 Interpolation {{ }}: Data flows code ➡️ HTML for display. 🔁 Property Binding [ ]: Dynamic binding to HTML element properties from code. 🔁 Event Binding ( ): Listening to user actions in HTML, calling functions in code. 🔁 Two-Way Binding [( )]: Bi-directional sync for form inputs. Data flows BOTH ways. Check out the diagrams 👆 to see the data flow in action! Simple concepts, infinite possibilities. Happy coding! 💻 What is your go-to data binding approach for new components? #Angular #Programming #JavaScript #WebDev #Frontend #Coding #ModernWeb #JeevrajSinghRajput
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Cohort Learning Update | Chai Aur Code Today’s class was a deep dive into JavaScript Prototypes and OOP concepts. We explored how JavaScript handles inheritance internally using: • __proto__ and prototype chaining • How objects inherit properties through nested prototypes Then moved into Constructor Functions: • Creating objects using constructor functions • Using prototypes to share methods efficiently After that, we covered Classes in JavaScript: • Creating classes and instances • Understanding constructor, super, and static • Using get() and set() for better data handling Finally, we connected everything with OOP principles in JavaScript: • Encapsulation • Inheritance • Abstraction • Polymorphism This session really helped me understand how JavaScript works under the hood and how OOP concepts are actually implemented in JS. Step by step moving from writing code to understanding the fundamentals behind it. Special thanks to Suraj Kumar Jha sir for explaining these concepts so clearly and making complex topics easy to grasp. #javascript #oop #webdevelopment #chaicode #learninginpublic
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