Kth Lexicographical Happy String of Length N

Claude Code Tip #15 / 100 — Stop letting quick questions eat your context window. Every message in Claude Code enters the conversation history. That question — and the answer — now occupies space for the rest of your session. Ask enough of them and you're burning context on noise. The /btw command fixes this. It opens a floating overlay where you ask a quick question. The answer shows up immediately — then disappears. It never enters the conversation history. Zero context cost. Use it for: "Why did you pick this approach?" or "What's the tradeoff here?" or "Is this the right pattern?" Get the clarity you need without paying for it in context overhead. Not every question deserves a permanent spot in your working memory. #ClaudeCode #AITools #DeveloperProductivity #Programming #CodingTips

42 of #100DaysOfCode Solved LeetCode 930 – Binary Subarrays With Sum 💡 Today’s problem was a great example of how powerful Prefix Sum + HashMap can be when dealing with subarrays. 🔹 Approach Used: Instead of checking all subarrays (which would be inefficient), I used a running prefix sum and stored its frequency in a hashmap. This reduces the time complexity to O(n) — much more efficient than brute force! ⚡ 🔹 What I Learned: Prefix sum helps convert subarray problems into lookup problems HashMap optimizes repeated computations Always think: “Can I store previous results to save time?” #LeetCode #DSA #CodingJourney #Programming #Cpp #SoftwareEngineering #ProblemSolving #LearnToCode

🚀 100 Days of LeetCode — Day 59 🧩 Problem Integer to Roman 💡 Core Idea To convert an integer into a Roman numeral, I used a place value mapping approach. The number is divided into four parts: Thousands Hundreds Tens Ones For each place value, I stored precomputed Roman numeral representations in arrays. Then I used direct indexing to select the correct Roman numeral and concatenate them. This approach avoids loops and complex conditions, making the solution simple and efficient. 📚 Key Learnings 1. Mapping values using arrays 2. Direct index lookup optimization 3. Breaking numbers using place value decomposition ⏱ Complexity Time Complexity: O(1) Space Complexity: O(1) #100DaysOfLeetCode #LeetCode #DSA #Programming #Cplusplus #CodingChallenge #ProblemSolving #TechJourney

#Day58 Solved: Longest Substring Without Repeating Characters(Leetcode 3) Worked on one of the most asked string problems that really tests problem-solving and optimization skills. Problem: Find the length of the longest substring without repeating characters. Approach: Used the sliding window technique to efficiently track a valid substring. Instead of checking all possible substrings (which is slow), I dynamically adjusted the window: Expanded when characters were unique Shrunk when a duplicate appeared Key Learning: The biggest takeaway was understanding how to maintain a valid window rather than restarting every time a duplicate is found. Complexity: Optimized the solution from O(n²) to O(n) using the right approach. This problem strengthened my understanding of: Sliding Window Two Pointer Technique Optimizing brute force solutions #leetcode #dsa #programming #coding #slidingwindow #problemSolving

LeetCode Parctice: Problem no.217 (Contains Duplicate) Statement- A array is given , we have to return true if any value appears at least twice in the array, and return false if every element is distinct. Approach- Brute Force Key Idea: - I used sets data structure for this problem as set only store unique elements. -While traversing the array, I check whether the current element already exists in the set. If the element is already present → it means a duplicate exists, so return true. Otherwise, insert the element into the set and continue checking. Time Complexity = O(n) Space Complexity = O(n) #DSA #CodingPractice #Cpp #Programming #ProblemSolving

Multithreading in theory vs reality 🧵⚙️ In theory: Every thread executes independently, efficiently, and peacefully. In reality: Race conditions, deadlocks, and thread competition, context switching, synchronization issues etc. 👉 Writing multithreaded code is easy. 👉 Writing correct multithreaded code is the real challenge. #Multithreading #Programming #SoftwareEngineering #BackendDevelopment #CPP #CppProgramming #ModernCPP #Multithreading #Concurrency #ParallelProgramming #SystemProgramming #SoftwareEngineering #CodingLife

LeetCode Practice: Today I solved Problem no.328(Odd Even Linked List) Statement- We are given the head of a singly linked list , group all the node with odd indices together followed by the node of even indices , and return the reordered list. Approach(Brute Force) Key Idea: I used ana auxiliary array to store the node values 1-Traverse the list by using temp->next->next starting from head to collect the odd indexed nodes 2-Then temp=head->next and traverse it using temp->next->next to collect the even indexed nodes 3-This ensures that all the odd index were stored first followed by even indexed nodes 4- Finally convert the array into the linked list. Time Complexity: O(N) Space Complexity: O(N) (due to the extra array) #LeetCode #DataStructures #LinkedList #CodingPractice #DSA #Programming #ProblemSolving

C++ | Arrays | Sum of Array Elements 🧠 Problem: Given an array, find the sum of all elements. 💻 Approach: Iterate through the array and keep adding each element to a running sum. ⏱ Time Complexity: O(n) 📦 Space Complexity: O(1) 📂 Explore more: #CPPProblems #Arrays #CodingPractice #DSA #Programming 📌 Follow QSolutions for daily coding practice 🚀

📂 [Arrays Series] Practice in Multiple Languages 🚀 Solve the same problem in different languages 👇 🐍 Python Solution: https://lnkd.in/ekim7PZ8 💼 Java https://lnkd.in/eyBiE2gn ⚡ C++ Solution: https://lnkd.in/ev2YmG5k 💡 Try all versions to strengthen your logic across languages 📂 Explore more: #PythonProblems #CPPProblems #JavaProblems #Arrays 📌 Follow QSolutions for daily coding practice 🚀

Multithreading in theory vs reality 🧵⚙️ In theory: Every thread executes independently, efficiently, and peacefully. In reality: Race conditions, deadlocks, and thread competition, context switching, synchronization issues etc. 👉 Writing multithreaded code is easy. 👉 Writing correct multithreaded code is the real challenge. #Multithreading #Concurrency #Programming #SoftwareEngineering #BackendDevelopment #CPP #CppProgramming #ModernCPP #Multithreading #Concurrency #ParallelProgramming #STL #SystemProgramming #SoftwareEngineering #CodingLife