Implemented an efficient solution to the Dutch National Flag problem in JavaScript, sorting an array of 0s, 1s, and 2s in a single pass using the three-pointer approach. Achieved optimal O(n) time complexity with constant O(1) space, demonstrating in-place array manipulation and clean pointer logic. #JavaScript #DSA #Algorithms #Coding #ProblemSolving #LeetCode
Dutch National Flag Problem Solved in JavaScript
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Implemented the Bubble Sort algorithm in JavaScript to sort an array in ascending order using a simple comparison and swapping technique. Demonstrates a fundamental sorting approach with O(n²) time complexity, ideal for understanding core algorithm concepts. #JavaScript #DSA #Algorithms #Coding #WebDevelopment
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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
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rag-from-scratch by Patric Gutersohn implements RAG in plain JavaScript … no LangChain, no abstractions. Cosine similarity, recursive character splitting, BM25 + vector hybrid search, query preprocessing, all written from scratch with node-llama-cpp. The in-memory vector store makes the full pipeline traceable in a debugger. Starts at a 70-line end-to-end example and builds up to hybrid retrieval and reranking. Rare to find a repo where every function is explained instead of imported. #rag #javascript #nodellama #vectorsearch
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Implemented an efficient solution in TypeScript to solve the Trapping Rain Water problem using precomputed left and right maximum arrays, achieving O(n) time complexity. #JavaScript #TypeScript #DSA #Algorithms #Coding #LeetCode #WebDevelopment
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⚡ 42 seconds → 1 second. This is what happens when Rust enters your JavaScript build pipeline. We migrated our FE linting pipeline from ESLint + 9 plugins to oxlint. Here's what we measured: ESLint v9 + 9 plugins = 42s oxlint 162 rules = 1s Over 6k files, tested on Apple M5 Pro. 42× speedup on a single run, the delta compounds in CI and watch mode. Migration path was straightforward: most ESLint rules had direct equivalents. A few gaps required minor workarounds, nothing blocking. If your lint step is a bottleneck in local DX or CI pipelines, this is worth evaluating seriously. https://lnkd.in/eNQkNqu4 #JavaScript #DeveloperExperience #Rust #oxlint #CI
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📌 #81 DailyLeetCodeDose Today's problem: 191. Number of 1 Bits – 🟢 Easy The solution looks like magic... and honestly, it kind of is! Meet: 𝐁𝐫𝐢𝐚𝐧 𝐊𝐞𝐫𝐧𝐢𝐠𝐡𝐚𝐧’𝐬 𝐀𝐥𝐠𝐨𝐫𝐢𝐭𝐡𝐦 👉 n = n & (n - 1) – removes the lowest set bit in one operation It becomes clearer with an example: n = 1011000 n - 1 = 1010111 1011000 & 1010111 --------- 1010000 – last 1 disappeared! Another example: 👉 First iteration: n = 1011 n - 1 = 1010 n & (n - 1) = 1010 count = 1 👉 Second iteration: n = 1010 n - 1 = 1001 n & (n - 1) = 1000 count = 2 👉 Third iteration: n = 1000 n - 1 = 0111 n & (n - 1) = 0000 count = 3 💡 Instead of checking all 32 bits, we only loop through the number of 1s – that's why this trick is both elegant and efficient. https://lnkd.in/euvXvU3X Have you seen this trick before, or was it new to you? :) #DailyLeetCodeDose #LeetCode #JavaScript #Algorithms #ProblemSolving #Coding
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Solved the classic Valid Parentheses problem using a stack-based approach in JavaScript. Key idea: Use a stack to track opening brackets and a hash map to validate closing pairs efficiently in O(1). Approach: Push opening brackets (, {, [ onto the stack On encountering a closing bracket, check: If stack is empty → invalid If top of stack doesn’t match → invalid At the end, stack must be empty for a valid string Optimized with: Single pass traversal → O(n) time complexity Stack space → O(n) worst case This problem reinforces a fundamental pattern: Stack + Mapping = Efficient bracket validation #JavaScript #DataStructures #Algorithms #Stack #CodingInterview #LeetCode
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Built an efficient JavaScript solution to find the maximum and second maximum elements in an array using a single pass approach, optimizing performance with O(n) time complexity and constant space. #JavaScript #DSA #Coding #LeetCode #WebDevelopment
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🚀 JavaScript Practice – Core Logic Building Worked on some important problems without using built-in methods: 🔹 String → Number (without parseInt) using ASCII 🔹 Number → String (manual + template + coercion) 🔹 Count character occurrences ("hello world" → "l" = 3) 🔹 Check if string contains only digits (Regex + ASCII) 💡 Key Learnings: 🔹digit = digit * 10 + (ascii - 48) 🔹Inside range → &&, Outside range → || 🔹digit + str helps maintain correct order 🔥 Strengthening fundamentals and improving problem-solving step by step. #JavaScript #Coding #ProblemSolving #FrontendDevelopment #Learning
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🚀 Day 18 of #DevDSA Today’s problem: Reverse String (LeetCode 344) This was a classic two-pointer problem, and a great reminder that simple problems can test strong fundamentals. 🔍 What I learned: How to reverse an array in-place (without extra space) Using the two-pointer approach efficiently Importance of swapping logic 💡 Approach: Take two pointers → left = 0 and right = n-1 Swap elements at both ends Move pointers inward until they meet ⚡ Complexity Analysis: Time Complexity: O(n) Space Complexity: O(1) (in-place) 📌 Key Insight: Two-pointer is one of the most powerful patterns in DSA. Whenever you see array/string reversal, pairs, or symmetry → think two pointers first. 🔥 Small problem, big concept. Consistency continues! #Day18 #DSA #100DaysOfCode #JavaScript #CodingJourney #LeetCode
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