⚡ Day 83 of #100DaysOfDSA – Majority Element 💡 📌 Problem. no 169: Given an array nums, find the element that appears more than ⌊n / 2⌋ times. Implemented an efficient hash map-based counting approach to track element frequency and determine the majority element quickly. ⚡ Runtime: 13 ms – Beats 37.81% of submissions 💾 Memory: 13.60 MB – Beats 64.79% of solutions 💻 Language Used: Python ✅ Status: Accepted – All 53 test cases passed successfully! This challenge helped me better understand frequency counting, dictionary operations, and threshold-based decision making. It’s a great problem for mastering counting logic and handling arrays efficiently. 🔑 Key Learnings: ✔️ Strengthened my understanding of hash maps and element frequency counting ✔️ Learned how to use early termination for optimization ✔️ Improved confidence in solving majority and occurrence-based problems 🎯 Day 83 — A solid step forward in mastering counting logic and data structure efficiency! 🚀🔥 #100DaysOfCode #100DaysOfDSA #LeetCode #PythonProgramming #DataStructures #AlgorithmPractice #CodeNewbie #DailyCoding #ProblemSolving #TechJourney #WomenWhoCode #CodeLife #CodingChallenge #DSAChallenge #DeveloperLife #PythonDeveloper #LearnToCode #CodingCommunity #CodeEveryday #SoftwareEngineering #KathirCollegeOfEngineering #KathirCollege #BTechLife #AIDS #FutureEngineer #CodingMotivation #ProgrammingSkills
Solved Majority Element Problem in Python with Hash Map
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📌 Problem. no 179: Given a list of non-negative integers, arrange them such that they form the largest possible number. Solved using a custom comparator to sort numbers based on concatenation order and achieve the optimal result. ⚡ Runtime: 3 ms – Beats 78.56% of submissions 💾 Memory: 12.69 MB – Beats 24.66% of solutions 💻 Language Used: Python ✅ Status: Accepted – All 235 test cases passed successfully! This problem enhanced my understanding of string-based comparison, custom sorting, and optimization through logic-based ordering. It’s an elegant challenge that blends sorting and string manipulation seamlessly. 🔑 Key Learnings: ✔️ Learned how to design and implement custom comparators ✔️ Understood how concatenation order affects numeric outcomes ✔️ Strengthened my grasp on sorting logic and greedy approaches 🎯 Day 84 — A creative challenge that refined my problem-solving through custom sorting and logical structuring! 🚀🔥 #100DaysOfCode #100DaysOfDSA #LeetCode #PythonProgramming #DataStructures #AlgorithmPractice #CodeNewbie #DailyCoding #ProblemSolving #TechJourney #WomenWhoCode #CodeLife #CodingChallenge #DSAChallenge #DeveloperLife #PythonDeveloper #LearnToCode #CodingCommunity #CodeEveryday #SoftwareEngineering #KathirCollegeOfEngineering #KathirCollege #BTechLife #AIDS #FutureEngineer #CodingMotivation #ProgrammingSkills
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🔥 Day 96 of #100DaysOfDSA – Power of Three 💡 📌 Problem. no 326: Check if a given number is a power of 3. If it is, return True; otherwise, return False. Simple yet elegant number theory logic at play. 🚀 Runtime: 11 ms – Beats ⚡61.54% of Python submissions 💾 Memory: 12.45 MB – Beats 51.93% 💻 Language: Python ✅ Result: Accepted – 21,040 / 21,040 test cases passed! 🔑 Key Learnings ✔️ Efficient looping and modular arithmetic can reveal hidden mathematical patterns ✔️ Edge cases (like n <= 0) must always be handled carefully ✔️ Clean, readable code performs just as powerfully as optimized code 🎯 Day 96 — Mathematics + Logic = Pure Programming Magic ✨ #100DaysOfCode #100DaysOfDSA #LeetCode #PythonProgramming #DataStructures #AlgorithmPractice #CodeNewbie #DailyCoding #ProblemSolving #TechJourney #WomenWhoCode #CodeLife #CodingChallenge #DSAChallenge #DeveloperLife #PythonDeveloper #LearnToCode #CodingCommunity #CodeEveryday #SoftwareEngineering #KathirCollegeOfEngineering #KathirCollege #BTechLife #AIDS #FutureEngineer #CodingMotivation #ProgrammingSkills
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⚡ Day 85 of #100DaysOfDSA – Reverse Bits 💡 📌 Problem. no 190: Given a 32-bit unsigned integer, reverse its bits and return the result. Solved using bit manipulation by shifting and combining bits efficiently through iterative processing. ⚡ Runtime: 15 ms – Beats 74.65% of submissions 💾 Memory: 12.49 MB – Beats 49.36% of solutions 💻 Language Used: Python ✅ Status: Accepted – All 600 test cases passed successfully! This problem strengthened my understanding of low-level bit operations, binary manipulation, and efficient use of shifting operators. It’s a great reminder that small operations can have big effects on data representation. 🔑 Key Learnings: ✔️ Learned how to manipulate bits effectively using bitwise operators ✔️ Understood the significance of shifting and masking in binary form ✔️ Improved my grasp of algorithmic efficiency at the bit level 🎯 Day 85 — A smart bitwise challenge that sharpened my binary logic and precision-based problem-solving! ⚙️💻🔥 #100DaysOfCode #100DaysOfDSA #LeetCode #PythonProgramming #DataStructures #AlgorithmPractice #CodeNewbie #DailyCoding #ProblemSolving #TechJourney #WomenWhoCode #CodeLife #CodingChallenge #DSAChallenge #DeveloperLife #PythonDeveloper #LearnToCode #CodingCommunity #CodeEveryday #SoftwareEngineering #KathirCollegeOfEngineering #KathirCollege #BTechLife #AIDS #FutureEngineer #CodingMotivation #ProgrammingSkills
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⚡ Day 87 of #100DaysOfDSA – 3Sum Closest 🔍 📌 Problem. no 16: Given an integer array nums and an integer target, find the sum of three integers in nums such that the sum is closest to the target. Implemented an optimized Two-Pointer Approach after sorting the array. ⚡ Runtime: 431 ms – Beats 75.40% of submissions 💾 Memory: 12.59 MB – Beats 39.70% of solutions 💻 Language Used: Python ✅ Status: Accepted – All 106 test cases passed successfully! This problem helped me strengthen my skills in pointer manipulation, array traversal, and optimization of nested loops. It was a great exercise in precision and efficiency under constraints. 🔑 Key Learnings: ✔️ Learned to balance between accuracy and performance ✔️ Gained deeper understanding of sorting and two-pointer techniques ✔️ Improved debugging and edge-case analysis for numerical problems 🎯 Day 87 — A logical yet challenging problem that sharpened my optimization mindset and coding discipline! 💪🔥 #100DaysOfCode #100DaysOfDSA #LeetCode #PythonProgramming #DataStructures #AlgorithmPractice #CodeNewbie #DailyCoding #ProblemSolving #TechJourney #WomenWhoCode #CodeLife #CodingChallenge #DSAChallenge #DeveloperLife #PythonDeveloper #LearnToCode #CodingCommunity #CodeEveryday #SoftwareEngineering #KathirCollegeOfEngineering #KathirCollege #BTechLife #AIDS #FutureEngineer #CodingMotivation #ProgrammingSkills
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Day 35 / 100 – Subarray Sum Equals K (LeetCode #560) Today’s challenge was about finding the number of continuous subarrays whose sum equals a given value k. At first, the brute-force approach felt tempting — checking every possible subarray — but that would be too slow. Instead, I learned to use a Hash Map to store cumulative sums and find the solution in linear time. This problem truly deepened my understanding of prefix sums and how storing previous computations can make complex problems simple and elegant. 🔍 Key Learnings Prefix Sum helps keep track of cumulative totals efficiently. Hash Maps allow quick lookups, reducing time complexity from O(n²) to O(n). Sometimes, the key to optimization is remembering what you’ve already calculated. 💭 Thought of the Day Today reminded me that not every problem needs to be solved from scratch — sometimes, the best solutions come from building on what you already know. Logic and memory, when used together, create magic in code ✨ 🔗 Problem Link: https://lnkd.in/gVGGGm6J #100DaysOfCode #Day35 #LeetCode #Python #HashMap #ProblemSolving #DataStructures #Algorithms #CodingChallenge #CodeEveryday #LearningJourney #Optimization #CleanCode #TechGrowth
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"Day 3 is a massive win for efficiency! I dedicated the morning to mastering the Two-Pointer technique, a critical step in optimizing array algorithms. I successfully tackled two key problems, including the famous Remove Duplicates (#26), which confirmed the absolute necessity of O(1) auxiliary space optimization. Key Technical Insight: O(1) Space is King I compared different approaches for removing duplicates and confirmed the core DSA lesson: 1. The Slow/Fast Pointer method is the correct, efficient approach, achieving O(1) space and O(n) time by manipulating the array in-place. 2. Brute-force solutions using helper data structures violate the memory constraint and often lead to slow O(n^2) time complexity. The lesson is clear: Master the mechanism, don't just rely on the wrapper. Understanding this difference is essential for building scalable applications. All progress is documented and pushed. Now, the plan pivots to laying the foundation for my Python OOP skills and project architecture. #DSA #TwoPointers #Python #LeetCode #SoftwareEngineering #Consistency #O1Space"
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🚀 𝐃𝐚𝐲 𝟏𝟑 𝐨𝐟 #𝟏𝟔𝟎𝐃𝐚𝐲𝐬𝐎𝐟𝐂𝐨𝐝𝐞 — 𝐏𝐚𝐥𝐢𝐧𝐝𝐫𝐨𝐦𝐞 𝐍𝐮𝐦𝐛𝐞𝐫 | 𝐒𝐭𝐫𝐢𝐧𝐠𝐬 🧩 Today’s focus was on a simple yet classic logic check — determining if a number reads the same forward and backward. While it looks straightforward, it’s a great reminder that elegant solutions often come from clarity, not complexity. Problem: 𝐂𝐡𝐞𝐜𝐤 𝐢𝐟 𝐚𝐧 𝐢𝐧𝐭𝐞𝐠𝐞𝐫 𝐢𝐬 𝐚 𝐩𝐚𝐥𝐢𝐧𝐝𝐫𝐨𝐦𝐞. Approach: Convert the integer to a string and compare it with its reverse. Time Complexity: O(n) Space Complexity: O(n) This small exercise reinforces foundational reasoning that scales up when designing more complex systems — where reversing, mirroring, or symmetry detection shows up in data validation, pattern recognition, and even natural language tasks. 🔗 GitHub: https://lnkd.in/gaim_PJS #Python #LeetCode #CodingChallenge #160DaysOfCode #ProblemSolving #DSA #AIEngineerJourney
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Day 32 / 100 – Single Number III (LeetCode #260) Today’s challenge was about identifying two unique numbers in an array where every other number appears exactly twice. The twist — it had to be solved in linear time and with constant space. This problem helped me dive deeper into bitwise operations, showing how simple binary logic can reveal elegant patterns hidden inside data. 🔍 Key Learnings XOR can be used to cancel out duplicates and isolate unique values. The rightmost set bit helps separate numbers into logical groups. Bit manipulation offers a powerful way to write optimized and clean algorithms. 💭 Thought of the Day Today reminded me that clever thinking often beats complex logic. When we focus on how data behaves at the bit level, we unlock a new layer of understanding — one that turns code into pure logic. Progress isn’t about solving more; it’s about solving smarter. 🔗 Problem Link:https://lnkd.in/gNjjkBni #100DaysOfCode #Day32 #LeetCode #Python #ProblemSolving #BitManipulation #CodingChallenge #Algorithms #DataStructures #TechGrowth #LearningJourney #CodeEveryday
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🔥 Day 94 of #100DaysOfDSA – First Bad Version 🧩 📌 Problem. no 278: Find the first bad version in a sequence of software versions using minimal API calls. 🚀 Runtime: 11 ms – Beats ⚡86.79% of Python submissions 💾 Memory: 12.47 MB – Beats 49.90% 💻 Language: Python ✅ Result: Accepted – 24 / 24 test cases passed successfully This challenge was a neat application of binary search to minimize API queries and optimize decision-making over large datasets. 🔑 Key Learnings ✔️ Efficient mid-point calculation prevents overflow in large searches ✔️ Binary search is a timeless and versatile tool ✔️ Understanding search space optimization enhances overall coding logic 🎯 Day 94 — Debug less, think binary, and aim for precision! ⚙️📈 #100DaysOfCode #100DaysOfDSA #LeetCode #PythonProgramming #DataStructures #AlgorithmPractice #CodeNewbie #DailyCoding #ProblemSolving #TechJourney #WomenWhoCode #CodeLife #CodingChallenge #DSAChallenge #DeveloperLife #PythonDeveloper #LearnToCode #CodingCommunity #CodeEveryday #SoftwareEngineering #KathirCollegeOfEngineering #KathirCollege #BTechLife #AIDS #FutureEngineer #CodingMotivation #ProgrammingSkills
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