Remove Nth Node from End of Linked List with Two Pointers

🚀 Day 38/60 — LeetCode Discipline Problem Solved: Build an Array With Stack Operations Difficulty: Medium Today’s problem revolved around simulating stack operations to construct a target array using a stream of numbers. By carefully deciding when to Push and when to Pop, I built the required sequence efficiently. 💡 Focus Areas: • Stack fundamentals (Push & Pop) • Simulation-based problem solving • Conditional logic building • Understanding sequence construction • Improving step-by-step thinking ⚡ Performance Highlight: Achieved 0 ms runtime (100% performance) Every number entered the stack… but not all were meant to stay. Some were pushed forward, others quietly removed— until only the desired sequence remained. #LeetCode #60DaysOfCode #100DaysOfCode #DSA #Stack #Simulation #CodingJourney #ProblemSolving #Python #Developers #TechGrowth #Consistency

🚀 Just solved the “Valid Number” problem on LeetCode! This problem looks simple at first glance—but handling edge cases like decimals, signs, and exponents makes it a great test of attention to detail and logical thinking. ✅ Key takeaways: Careful handling of edge cases is crucial Validating input step-by-step can simplify complex parsing problems Writing clean, readable logic beats overcomplicated solutions 💡 Performance: ⚡ Runtime: 3 ms 🧠 Efficient space usage ✅ All test cases passed Problems like this remind me that consistency in practice is what builds strong problem-solving skills. On to the next one! 🔥 #LeetCode #Coding #Python #ProblemSolving #SoftwareEngineering #AIEngineerJourney link of #Solution :- https://lnkd.in/ga9b5pVb

🚀 Day 37/60 — LeetCode Discipline Problem Solved: Concatenation of Array Difficulty: Easy Today’s problem was simple yet elegant — creating a new array by concatenating the given array with itself. Instead of manually looping, I used Python’s direct list operation to duplicate the array efficiently. 💡 Focus Areas: • Understanding array manipulation • Leveraging built-in language features • Writing concise and clean code • Avoiding unnecessary complexity • Strengthening fundamentals ⚡ Performance Highlight: Achieved 0 ms runtime (100% performance) Sometimes, the most powerful solutions are the simplest ones. No heavy logic… no complex structures— just clarity of thought and clean execution. #LeetCode #60DaysOfCode #100DaysOfCode #DSA #Arrays #Python #CodingJourney #ProblemSolving #Developers #TechGrowth #Consistency

🚀 Day 7 – LeetCode Journey Today’s problem: String to Integer (atoi) This one really tested my understanding of edge cases and string parsing. Not just coding, but thinking like a machine step-by-step 👇 ✅ Ignored leading whitespaces ✅ Handled positive & negative signs ✅ Extracted numbers until non-digit appears ✅ Managed overflow within 32-bit integer range At first, it looked simple… but the edge cases made it interesting 😅 💡 Key Learning: Writing code is one thing, but handling all possible inputs correctly is what truly matters in real-world problems. Slowly getting better at breaking down problems and building clean logic 💻🔥 On to Day 8… 🚀 #Day7 #LeetCode #CodingJourney #Python #ProblemSolving #Consistency #LearningEveryday

Day 6/100 – #100DaysOfCode Solved the problem “Remove Element”, focusing on in-place array manipulation. Problem Summary: Remove all occurrences of a given value from an array without using extra space, and return the count of remaining elements. Approach: Used a two-pointer technique to efficiently overwrite unwanted elements while iterating through the array. Complexity: • Time: O(n) • Space: O(1) Key Insight: Efficient problem solving is not always about removing data — sometimes it's about rearranging it smartly in-place. Consistent progress > perfection. On to Day 7 #100DaysOfCode #Day6 #DSA #Python #LeetCode #ProblemSolving #CodingJourney

🚀 Day 38 – LeetCode Journey Today’s problem: Gray Code ✔️ Generated sequence using bit manipulation ✔️ Applied formula: "i ^ (i >> 1)" ✔️ Ensured only one bit changes between consecutive numbers 💡 Key Insight: Gray Code is useful in minimizing errors in digital communication, as only one bit changes at a time. Using bitwise operations makes the solution both elegant and efficient. This problem improved my understanding of bit manipulation and binary patterns. Exploring deeper into low-level concepts 🔥💪 #LeetCode #Day38 #BitManipulation #Binary #Python #ProblemSolving #CodingJourney #100DaysOfCode

🚀 Day 89 of #100DaysOfCode Solved LeetCode Problem 231 — Power of Two ✅ Cracked this one with a clean and efficient bit manipulation approach. The goal was to check whether a number is a power of two without using loops or recursion. 💡 Key Insight: A power of two has exactly one set bit in its binary form. So, using the trick: 👉 "n > 0 and (n & (n - 1)) == 0" This removes the lowest set bit — if the result is 0, it's a power of two. ⚡ Performance: • Runtime: 0 ms (Beats 100%) • Memory: 19.27 MB 🔍 What I learned: • Bit manipulation is insanely powerful • Writing optimal solutions matters • Small tricks can save big time Consistency > Motivation. On to Day 90 🔥 #LeetCode #DSA #CodingJourney #100DaysChallenge #BitManipulation #Python

Just solved “Second Largest Digit in a String” on LeetCode — and here’s the simple approach I followed 👇 Instead of overcomplicating it, I focused on clean thinking + Python basics: 🔹 Converted the string into a set → removes duplicates instantly 🔹 Filtered only digits using isdigit() 🔹 Stored them as integers in a list 🔹 Sorted the list → easy access to largest & second largest 🔹 Edge case check: if less than 2 digits → return -1 💡 Key takeaway: Sometimes the most optimal solution isn’t about complex algorithms — it’s about using the right built-in tools smartly. 🚀 What I’m improving with each problem: • Writing cleaner logic • Thinking in steps instead of rushing • Handling edge cases early Consistency > Complexity. #LeetCode #DSA #Python #ProblemSolving #CodingJourney #100DaysOfCode

🚀 LeetCode Progress Update – Problem Solved! ✅ Problem: Remove Trailing Zeros From a String 💡 Approach: Used reverse traversal to find the first non-zero digit and sliced the string accordingly. 🔍 Key Learning: Efficient string manipulation can avoid unnecessary conversions. Traversing from the end helps solve trailing-based problems quickly. 💻 Code Insight: Instead of removing zeros one by one, I identified the breakpoint and sliced the string — making it optimal and clean. ⏱️ Performance: Runtime: 3 ms ⚡ Beat: 66%+ users Memory: 19.23 MB 📈 Consistency is key — one problem closer to mastery! #LeetCode #CodingJourney #Python #ProblemSolving #DSA #100DaysOfCode

🗓 7 April 2026 🚀 LeetCode Problem #973 — K Closest Points to Origin Solved this problem using a Heap (Priority Queue) approach in Python. 💡 Approach: - Calculated the distance of each point from origin using: 👉 x² + y² (no need for square root) - Used a max heap (by pushing negative distance) - Maintained heap size = k - If size exceeds k → removed the farthest point ⚡ Time Complexity: O(n log k) ⚡ Space Complexity: O(k) 🔥 This is a great example of optimizing from brute force (sorting O(n log n)) to a more efficient heap-based solution. Consistency update: solving problems daily and improving problem-solving skills step by step. #leetcode #dsa #python #coding #100DaysOfCode #heaps #learning