"Day 91 of #100DaysOfDSA: Contains Duplicate II Challenge"

⚡ 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 97 of #100DaysOfDSA – Counting Bits 💡 📌 Problem. no 338: For every number from 0 to n, count the number of 1s in its binary representation and return the list of counts. An elegant way to connect bit manipulation with loop optimization! ⚙️ 🚀 Runtime: 15 ms – Beats ⚡46.30% of Python submissions 💾 Memory: 17.81 MB – Beats 48.48% 💻 Language: Python ✅ Result: Accepted – 15 / 15 test cases passed 🎯 🔑 Key Learnings ✔️ Binary representation is a powerful yet simple way to analyze integer patterns ✔️ Python’s built-in functions like bin() and .count() simplify complex operations ✔️ Clean loops and logic always make debugging easier 💡 Day 97 — Simplicity in Bits, Power in Logic! 🔢 #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 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 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 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

Hello, connections 👋 Welcome to Day 9 of my #30DaysOfPython journey! 🚀 Today, I explored a new concept in Python — Tuples! 🐍 Tuples are used to store multiple values in a single variable, just like lists, but with one major difference: 👉 Tuples are immutable, which means their values cannot be changed after creation. Python provides several useful operations for tuples such as: 🔹 Accessing elements using indexes 🔹 Slicing to get a portion of the tuple 🔹 Finding the length using len() I also learned two important tuple methods: 🔹 count() → returns how many times a value appears 🔹 index() → returns the position of a value Tuples are faster, more secure, and perfect for storing fixed data. Learning tuples helps in writing cleaner, safer, and more efficient programs! 💡💻 LogicWhile #Day9 #Python #Tuples #LearnPython #PythonBasics #CodingJourney #PythonProgramming #TechLearning #ImmutableData #PythonForBeginners #CodeEveryday #Developers #ProgrammingCommunity #StudyPython #CodeWithMe #100DaysOfCode 🚀

🔥 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

Built a quick reference guide for RAG patterns. Spent some time documenting 5 common patterns I kept seeing in production systems: • Semantic chunking • HyDE (query expansion) • Re-ranking • Metadata filtering • Query decomposition Each one has working Python code and notes on when it's worth using vs. when it's overkill. Also threw in some case studies with actual numbers ($900K-$2.3M impact range) from real implementations I researched. Nothing groundbreaking - just a clean reference for the trade-offs (latency, cost, quality) since I couldn't find one that laid it out clearly. Live docs: https://lnkd.in/edsUB5mA Code: https://lnkd.in/e9Xqrme6 #MachineLearning #RAG #Python

🚀 Day 43 of #100DaysOfDSA 💡 Problem: 993. Cousins in Binary Tree 🔗 LeetCode: https://lnkd.in/djrWKuC4 🧠 Approach: - Used DFS to record the depth and parent of both target nodes (x and y). - Compared their depths and parents to check if they are cousins (same level, different parents). - Used recursion for clean and efficient traversal. 📚 Learnings: - Strengthened understanding of tree traversal using recursion. - Learned to track multiple attributes (depth, parent) simultaneously. - Improved logical reasoning for binary tree relationship problems. 👨💻 LeetCode Profile: https://lnkd.in/dGQwSXjb #100DaysOfDSA #Day43 #LeetCode #Python #BinaryTree #DFS #Recursion #ProblemSolving #CodingChallenge

💯 Day 45 / 100 – 100 Days of #LeetCode Challenge 🔁 Problem: 231. Power of Two Goal: Given an integer n, return true if it’s a power of two. Otherwise, return false. An integer n is a power of two if there exists an integer x such that n == 2ˣ. Approach: ✅ Initialize a list with [1] (since 2⁰ = 1). ✅ Iterate through the range and calculate powers of 2 (temp = 2 * i). ✅ Break the loop when temp > n. ✅ If n exists in the list of powers, return True. Complexity: ⏱ Time: O(n) – loop through numbers up to n 🗂 Space: O(n) – storing computed powers 💡 Key Takeaway: Understanding the concept of powers helps simplify many number-related problems. This problem reinforces the importance of iteration and conditional control flow in Python. #100DaysOfLeetCode #Day45 #Python #DSA #LeetCode #ProblemSolving #CodingChallenge #PowerOfTwo #LogicBuilding