"Counting 1s in Binary Representation with Python"

⚡ Day 91 of #100DaysOfDSA – Contains Duplicate II 🔄 📌 Problem. no 219: Determine whether there exist two identical elements in an array such that their indices are within distance k. If such elements exist — return True; otherwise, return False. 🚀 Runtime: 23 ms – Beats ⚡97.32% of Python submissions 💾 Memory: 23.88 MB – Beats 87.29% 💻 Language: Python ✅ Result: Accepted – 65 out of 65 test cases passed successfully This challenge deepened my understanding of hash map optimization and index-based checks for nearby duplicates — a perfect blend of logic and efficiency. 🔑 Key Learnings ✔️ Used a dictionary to store indices for O(n) efficiency ✔️ Applied index difference checks with constant-time lookups ✔️ Strengthened reasoning on spatial constraints in arrays 🎯 Day 91 — Smart hashing, clean logic, and another step forward in mastering efficient Python solutions. 🚀 #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

⚡ Day 90 of #100DaysOfDSA – Contains Duplicate 🔁 📌 Problem. no 217: Check if any value appears at least twice in a list of integers. If a duplicate exists — return True; otherwise, return False. 🚀 Runtime: 6 ms – Beats ⚡97.87% of Python submissions 💾 Memory: 25.97 MB – Beats 47.47% 💻 Language: Python ✅ Result: Accepted – 77 out of 77 test cases passed successfully This problem helped reinforce set operations and efficient data lookup concepts. A simple but powerful reminder that clean logic can yield the fastest results. 🔑 Key Takeaways ✔️ Utilized set conversion for O(n) time complexity ✔️ Simplified logic with direct comparison of lengths ✔️ Strengthened understanding of duplicate detection in arrays 🎯 Day 90 — Simplicity wins! Mastering efficiency through minimal, elegant Python code. 🚀 #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

🚀 Day 29/100 – Third Maximum Number (LeetCode #414) Today’s problem focused on finding the third distinct maximum number in a list — a task that tests both logic and precision. It was a great exercise in sorting, distinct values, and edge cases. This problem reminded me that simplicity in approach often leads to clearer, faster solutions. 🔍 Key Learnings: Handling duplicates using Python sets Sorting efficiently to extract specific elements Always account for edge cases in logic-based questions 🔗 Problem link:https://lnkd.in/gGHddwQB 🧠 Language: Python Every challenge strengthens the coding mindset — one function at a time. On to Day 30 💪 #100DaysOfCode #LeetCode #Python #CodingChallenge #ProblemSolving #Algorithms #PythonProgramming #DataStructures #DailyCoding #CodeJourney #TechCommunity #ProgrammerLife #LearnCoding #CodingConsistency

🔥 Day 99 of #100DaysOfDSA – Intersection of Two Arrays 🔢 📘 Problem. no 349: Given two integer arrays, find their intersection. Each element in the result must be unique, and the order does not matter. This problem reinforces the importance of understanding set operations and efficient data manipulation in Python. It’s simple, clean, and elegant — exactly what makes coding satisfying! ⚡ 🚀 Runtime: 0 ms – Beats ⚡100.00% of Python submissions 💾 Memory: 12.53 MB – Beats 57.86% 💻 Language: Python ✅ Result: Accepted – 57 / 57 test cases passed flawlessly! 🟢 🔑 Key Takeaways ✔️ Using set intersection dramatically simplifies the code 🧠 ✔️ Focus on clarity and simplicity — minimalism can be powerful 💡 ✔️ Always aim for readable and efficient solutions over complex ones 💬 This challenge highlighted how fundamental data structures can lead to optimal solutions. As I near the finish line of my #100DaysOfDSA journey, the consistency and daily problem-solving truly pay off! 🌟 Day 99 — Precision through simplicity. One day left to go! 🚀🔥 #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

⚡ Day 92 of #100DaysOfDSA – Single Number III 🔍 📌 Problem. no 260: Given an array where every element appears twice except for two unique numbers, find both unique elements that appear only once. 🚀 Runtime: 0 ms – Beats ⚡100.00% of Python submissions 💾 Memory: 13.23 MB – Beats 65.94% 💻 Language: Python ✅ Result: Accepted – 35 / 35 test cases passed flawlessly This problem pushed me to dive deeper into bit manipulation and understand how XOR can efficiently isolate unique numbers without using extra space. 🔑 Key Learnings ✔️ XOR helps cancel out repeating elements effectively ✔️ Smart bit-level logic simplifies complex comparisons ✔️ Achieved O(n) time and O(1) space – clean and optimal 🎯 Day 92 — Every bit counts when it comes to optimization! ⚙️🔥 #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

Day 57 of #100DaysOfCode Solved LeetCode Problem 3461: Check If Digits Are Equal in String After Operations I ✅ This problem involved iteratively performing modulo operations on consecutive digits of a string until only two digits remain and then checking if they are equal. It tested skills in: String manipulation Iterative logic Modulo arithmetic 💡 Key Takeaways: Reinforced understanding of working with string-to-integer conversions. Practiced efficient looping and array manipulation in Python. Strengthened problem-solving mindset for algorithmic challenges. ⏱ Performance: Runtime: 21 ms — beats 95% of submissions Memory: 17.73 MB — beats 71% of submissions #100DaysOfCode #LeetCode #Python #CodingChallenge #Algorithm #ProblemSolving #CompetitiveProgramming #TechSkills #SoftwareDevelopment #CodingJourney #CodeNewbie #PythonProgramming #DevCommunity #ProgrammingLife #LearnToCode #CodeDaily #TechLearning #PythonDeveloper #CodePractice #ProgrammingChallenge

#Day254 of Solving #DSA ✅ LeetCode Daily Progress Today I solved Question 240 – Search a 2D Matrix II 💻 This problem was quite interesting as it required optimizing search within a sorted 2D matrix. Instead of checking every element, I used a binary search–like logic — starting from the top-right corner, and moving left if the current element was greater than the target or down if it was smaller. This approach reduced the complexity to O(m + n), making it much more efficient than a brute-force search. ⚡ 🧠 Key takeaway: Smart traversal techniques can often replace heavy loops — understanding patterns in data helps you find optimal paths! #LeetCode #Coding #DSA #BinarySearch #ProblemSolving #Python #CodingJourney

Day 27 🚀 LeetCode Challenge: Contains Duplicates II https://lnkd.in/g_zweS_R Today’s problem was all about efficiently checking whether any duplicate elements exist within a given distance k in an array. 💡 Concepts used: HashMap / Sliding Window approach Efficient lookup using key-value pairs Understanding of array traversal and index tracking 🧠 Key takeaway: Instead of comparing every element (which takes more time), using a HashMap allows us to check duplicates in constant time — improving performance significantly. 💻 Learning: Optimizing code with the right data structure makes a huge difference in both speed and clarity. #Day27 #LeetCode #ProblemSolving #CodingChallenge #Java #Python #DataStructures #ContainsDuplicatesII

🚀#3217: Delete Nodes from Linked List present in an Array Recently, I explored an interesting problem involving the removal of specific nodes from a linked list based on a given list of values. 💡 Problem Overview: Given a linked list and a list of numbers nums, the task is to delete all nodes whose values are present in nums. 🔍 Approach Summary: 1️⃣ Convert nums into a set for constant time lookups. 2️⃣ Traverse the linked list using two pointers, curr (current node) and prev (previous node). 3️⃣ If the current node’s value is in the set: - If it’s the head, move the head forward. - Otherwise, link the previous node to the next node, effectively removing the current one. 4️⃣ Continue traversing until all matching nodes are removed. ✨ Key Learnings: - Utilizing a set improves efficiency for value lookups. - Careful handling of the head node prevents pointer issues. - Clean traversal logic leads to better readability and fewer edge case errors. #Python #DataStructures #LinkedList #Coding #ProblemSolving #LeetCode #DSA #LearningJourney

Day 62 Of #100DaysOfCode Problem #3354: Make Array Elements Equal to Zero Successfully solved today’s problem with an optimized solution achieving 93.09% runtime efficiency and 95.74% memory optimization! 🚀 🧩 Problem Insight: Given an integer array, the task is to determine the number of valid selections of a starting index and direction that reduce all array elements to zero by following specific movement and decrement rules. ⚙️ Approach: Used prefix/suffix summation logic to track balance between left and right movements. Calculated total sum and suffix sums efficiently to identify valid starting points. Achieved O(n) time complexity using cumulative tracking. 🧠 Language: Python ✅ Result: Accepted | Beats 93.09% in Runtime, 95.74% in Memory #LeetCode #Python #ProblemSolving #CodingChallenge #Mythyly #DailyPractice #DSA #ProgrammingJourney #WomenInTech