Peak Index in a Mountain ⛰️ Array | Binary Search 👉 Day 18 / Day 93 👈 Key Takeaways: 👉 Binary Search isn’t just for sorted arrays — it can find peaks too! 👉 Compare arr[m] and arr[m + 1] to decide direction. 👉 When l === r, you’ve found the peak index. 👉 Time Complexity: O(log n) 👉 Space Complexity: O(1) #JavaScript #BinarySearch #CodingInterview #LeetCode #ProblemSolving #SoftwareEngineering #TechInterview #FrontEndDeveloper #WebDevelopment #CodingChallenge #AngularDeveloper
How to Find Peak Index in a Mountain Array using Binary Search
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🚀 𝗗𝗮𝘆 𝟮𝟯 𝗼𝗻 𝗟𝗲𝗲𝘁𝗖𝗼𝗱𝗲 Today I tackled one easy and one medium problem -- focusing on using objects to efficiently track array elements and their counts. 🧠 𝗜 𝘀𝗼𝗹𝘃𝗲𝗱: 🔹 1207. Unique Number of Occurrences 🔹 287. Find the Duplicate Number 💡 𝗞𝗲𝘆 𝘁𝗮𝗸𝗲𝗮𝘄𝗮𝘆: Objects can be super useful when you need to count, track, or compare array members efficiently. A solid step toward better data handling in JS 💪 #LeetCode #JavaScript #LearnInPublic #BuildInPublic #ProblemSolving #100DaysOfCode #WebDevJourney
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“Daily Temperatures” Using Stack in JavaScript ♨️ 👉 Day 19 / Day 93 👈 Description: 👉 The goal is to find out how many days you have to wait until a warmer temperature. ✅ Approach: 👉 Traverse the array from right to left. 👉Maintain a stack to store indices of temperatures in decreasing order. 👉 For each day, pop all smaller or equal temperatures. 👉 The difference between the current index and top of stack gives the number of days to wait. This method ensures O(n) time complexity instead of a brute-force O(n²). #JavaScript #CodingChallenge #DSA #InterviewPreparation #FrontendDeveloper #ProblemSolving #100DaysOfCode #TechLearning #LeetCode #Algorithms
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Exploring Brimstone, a new JavaScript engine written in Rust. This project supports almost all of the ECMAScript language and offers a bytecode VM, compacting garbage collector, and custom RegExp engine. Use case: Enhanced performance in web apps by leveraging Rust's efficiency. Another use case: Server-side JavaScript execution with improved memory management. Contribute and learn more: https://lnkd.in/g4GrgeBA #JavaScript #Rust #ECMAScript #SoftwareDevelopment #OpenSource
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Day 5 of my #LearnTypeScriptWithMe series: Arrays & Objects! Arrays and objects are everywhere in #JavaScript but #TypeScript makes them so much safer to work with. In today’s post, we’re looking at: - How to type arrays (string[], number[], etc.) - How to define object shapes - Arrays of objects (super common in real apps!) Swipe through the carousel to see how TypeScript brings structure and clarity to your everyday data. Don't miss the quiz at the end😉 #LearnInPublic #WebDevelopment #FrontendDeveloper #CodingCommunity #UIDevelopment #LearnProgramming #LearningSeries
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👋 Hello Connections! Hope you’re all doing great 😊 Today, I’d like to share something I learned... Stages of Errors in JavaScript. When working with JavaScript, we often face different types of errors, but not all errors are the same! Here are the three main stages of errors every developer should know: Syntax Error, Runtime Error, and Logical Error. 1.Syntax Error (Compile-Time): Occurs when your code has a syntax mistake — like missing brackets, commas, or incorrect keywords. Example:console.log("Hello World" **// missing parenthesis//** 2. Runtime Error (Execution-Time): Happens while the program is running for example, when you use an undefined variable or call a non-existing function. Example: let x = 10; console.log(y); **// y is not defined//** 3.Logical Error: The code runs without crashing, but the output is wrong due to incorrect logic. For Example: let num = 5; if (num = 10) { console.log("Number is 10"); } **//Wrong logic/output//** #JavaScript #WebDevelopment #ErrorHandling #10000coders #FresherJourney #TechLearning
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Day 69 of #100daysCode Ever wondered how JavaScript thinks? 🤔 It’s all about Variables, Data Types, and Operators! These 3 concepts might seem simple, but they’re the secret to how JS handles everything — from text to numbers to logic. Swipe through my carousel to learn the basics in a fun, visual way 🎨✨ #JavaScript #CodingJourney #FrontendDevelopment #LearnToCode #WomenInTech
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🚀 Day 6 of My 30 Days of JavaScript Challenge 🧩 Problem: Filter Elements from Array (LeetCode #2634) Given an integer array arr and a filtering function fn, return a new array filteredArr that only includes elements where fn(arr[i], i) returns a truthy value. Solve this without using the built-in Array.filter() method. 💻 Language: JavaScript ❓ Question: https://lnkd.in/eSGpgXcM 💡 Solution: https://lnkd.in/ekA6y-u3 🧠 Concepts Used: Higher-order functions and callbacks Conditional checks for truthy/falsy values Understanding Boolean(value) behavior in JavaScript 📚 Takeaway: Rebuilding filter() from scratch deepens understanding of conditional logic, iteration, and truthy/falsy evaluation — all essential for functional programming in JavaScript. #Day6 #JavaScript #30DaysOfCode #LeetCode #CodingChallenge #WebDevelopment #FrontendDevelopment #100DaysOfCode
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🔍 JavaScript Insight: Object Equality by Reference Ever wondered why two objects with identical properties still return false when compared with ===? This quick snippet is a reminder that in JavaScript, objects are compared by reference—not by value. ✅ obj1 === obj3 → true (same memory reference) ❌ obj1 === obj2 → false (different objects, even if identical) Understanding this is key when debugging, designing data flows, or working with state management in React or backend logic. #JavaScript #WebDevelopment #FullStack #CodeTips #DeveloperNotes #ReactJS #InterviewPrep
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🧩 Day 4 – Mastering Objects & Arrays Day 4 was all about Objects and Arrays — the backbone of JavaScript data handling. I learned how to create, modify, and loop through them efficiently. Also explored methods like map(), filter(), and reduce() — game changers for clean, readable code! 💡 Realized how these methods simplify complex logic into elegant one-liners. 💬 Which one do you use the most — map, filter, or reduce? #JavaScript #WebDevelopment #CodingChallenge #FrontendLearning #gfg #geeksforgeeks #React
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🚀 Day 7 of My 30 Days of JavaScript Journey ✅ Challenge: Array Reduce Transformation (LeetCode #2626) Write a function reduce(nums, fn, init) that processes each element of the array using the given reducer function fn, starting from an initial value init. This function should accumulate results sequentially and return the final value — implemented without using the built-in Array.reduce() method. 💻 Language Used: JavaScript ❓ Problem Link: https://lnkd.in/gxsp26cz 💡 Solution: https://lnkd.in/giZj_hYw 🧠 Concept Highlighted: This problem deepened my understanding of accumulator functions, data aggregation, and sequential computation in JavaScript. It helped me explore how the powerful reduce() method works behind the scenes — a key tool for transforming and summarizing data efficiently. #Day7 #JavaScript #LeetCode #30DaysOfCode #CodingChallenge #WebDevelopment #FrontendDevelopment #LearningEveryday #ProblemSolving #FunctionalProgramming
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