JetBrains’ Post

🚀 Day 38/100 #100DaysOfCode 🚀 ✅ Today's Problem:- 🔗 Problem Spotlight: Regions Cut By Slashes 📊 Difficulty: Medium 💡 Concept: Array, Hash Table, Depth-First Search, Breadth-First Search, Union Find, Matrix Problem Statement: In this problem, I delved into an intriguing challenge: counting the number of regions formed by diagonal lines in an n×n grid. This problem was a great exercise in understanding how simple characters can define complex shapes and regions. Imagine a grid where each cell can contain one of the following characters: / (forward slash) \ (backslash) (blank space) These characters effectively divide each cell into different regions. The goal is to determine how many distinct regions are formed in the grid. Examples Input: grid = [" /","/ "] Output: 2 Explanation Grid Expansion: We expanded each grid cell into smaller triangular regions by treating the characters as lines that divide these cells. Graph Connectivity: By treating this as a graph problem, we used Union-Find to identify connected components. Region Counting: Finally, we counted the number of connected components, which corresponded to the distinct regions. Why This Problem? his problem is a great example of how graph theory can be applied to solve complex real-world problems by breaking down abstract shapes into analyzable components. Problem Link : https://lnkd.in/gGp4Xnxr #day38 #100daysofcodechallenge #Discipline #learningjourney #100daysofcode #codingadventure #dailycoding #personalgrowthjourney #linkedincommunity #Leetcode #Algorithms #DataStructure

🚀 Day 23 of 30 🚀 Today’s challenge was Two Swap 🔄. The task was to determine how to swap exactly two elements in an array to achieve a desired order or arrangement. It was an interesting problem that required analyzing patterns, identifying misplaced elements, and strategically swapping to reach the correct configuration. These challenges continue to improve my problem-solving skills, one swap at a time! 💪 Excited to see what’s next. #Day23 #30DaysOfCode #GeeksForGeeks #CodingChallenge #ArrayManipulation #Algorithms #ProblemSolving #TechJourney #KeepCoding #LearningEveryday

Why don’t AI coding demos acknowledge the way that developers really work? Too many tools are promising the moon, rather than focusing on being useful tools that add value to the authentic software development experience that we have collectively created over the last 7 decades. Are we really going to throw that out in favor of magical code fixers that we don’t understand? I don’t think so. Here’s a really strong new Navie demo video from Pete Cheslock, in which he shows how AI can help us in the _real_ world: - Building code understanding - Collecting data to troubleshoot an issue - Adding logs and telemetry - Designing a code solution based on code, performance profiles, and logs - Writing meaningful tests - Sharing useful code descriptions and diagrams to explain our work to others https://lnkd.in/eRsMrQE3 Well done, Pete Cheslock !

🚀 Day 20 of my #100DaysOfCodingChallenge 🚀 Today's challenge: Find the length of the longest consecutive sequence in an unsorted array on LeetCode. 💻 This problem really pushed me to think about efficient ways to handle unsorted data and find optimal solutions. Excited to keep improving my problem-solving skills as I dive deeper into algorithm challenges! On to the next one! 💪 #100DaysOfCode #Day20 #LeetCode #ProblemSolving #Algorithms #CodingJourney #KeepLearning #CodeNewbie

🎯 Day 13 of #21DayChallenge: Ninja Slayground 2.0 🚀 💻 Mastering Precision with Binary Search! Today, I explored one of the most efficient algorithms for sorted data: Binary Search. This divide-and-conquer technique is a true game-changer when it comes to finding elements quickly. ✨ Focus of the Day: Binary Search 👀 A fundamental algorithm that every coder must master for efficient problem-solving. 💡 What I Learned: Binary search reduces complexity significantly, making it ideal for large datasets. Its precision and speed highlight the importance of sorted data in algorithm design. Revisiting this classic reminded me how foundational concepts pave the way for solving advanced challenges. 🔥 Result: All Test Cases Cleared in Record Time! ✨ Day 13 was a great reminder of the power of optimization and how small tweaks can lead to big performance gains. 📢 Let’s keep climbing the ladder of algorithms—one challenge at a time! #NinjaSlayground #CodingNinjas #Day13 #BinarySearchPro

🎯 Day 329 of 365 Days of DSA: Conquered the Allied Nations' Tour Problem! 🌍✨ Today's challenge was all about strategy and optimization as I tackled the Allied Nations' Tour problem. 🧑💻 The problem pushed me to think beyond basic algorithms and dive deep into route planning and cost efficiency—a perfect blend of theory and practical application! 🚀 ✅ Key Learnings: Sharpened my skills in graph traversal and pathfinding. Explored advanced optimization techniques to minimize computational complexity. Reinforced the importance of breaking down problems into smaller, manageable pieces. Each problem solved brings me closer to becoming a more proficient problem-solver, and I’m loving the journey! 🌟 Let me know how you're leveling up your skills—let's grow together! 💬 Discord Server: https://lnkd.in/gstPhXQX Scaler #DataStructure #Algorithms #CodingChallenge #ProgrammingJourney #CodeNewbieLeetCode LeetCode #AchievementUnlocked #scalerdiscord #codewithscaler #365daysofcodescaler #365daysofcode #365DaysOfCode #DSAChallenge #ProblemSolving #CodingJourney #LinkedInLearning

Day 17 of #NinjaSlayground #21DaysCodingChallenge: Today's challenge: Implement Upper Bound – a problem that combines precision and efficiency! 🎯 ✅ Applied Binary Search to find the first index where an element is strictly greater than the given value. ✅ Achieved O(log n) complexity with an optimized approach. ✅ Handled tricky edge cases like arrays with duplicate values and elements beyond the range. ✅ All test cases passed successfully—keeping the streak intact! This challenge reinforced the importance of understanding variations of binary search for solving real-world problems. Excited for Day 18 and the next adventure! 🚀 When do you find upper/lower bounds most useful in your work? Let’s discuss below! 👇 #CodingNinjas #CodingJourney #21DayChallenge #ProblemSolving #BinarySearch #UpperBound #Algorithms

🚀 𝗗𝗮𝘆 𝟴: 𝗡𝗲𝗲𝘁𝗖𝗼𝗱𝗲 𝟭𝟱𝟬 𝗖𝗵𝗮𝗹𝗹𝗲𝗻𝗴𝗲 🚀 𝕋𝕠𝕕𝕒𝕪'𝕤 𝕡𝕣𝕠𝕓𝕝𝕖𝕞: Evaluate Reverse Polish Notation 🧮 The challenge was to evaluate an arithmetic expression using Reverse Polish Notation, which requires processing operators and operands in a specific order. 🅺🅴🆈 🆃🅰🅺🅴🅰🆆🅰🆈 : By using a stack, I was able to handle each token efficiently. For each operator, I popped the last two elements, performed the calculation, and pushed the result back. This approach ensures correct evaluation with minimal overhead! Every problem brings a fresh perspective and strengthens my grasp on data structures and algorithms. On to the next! 💡 #Day8 #NeetCode150 #DataStructures #Algorithms #ReversePolishNotation #StackDataStructure #ProblemSolving #CodingJourney #LeetCode

Day [3] of #100DaysOfLeetCode | Problem: Merge Sorted Array   🚀 Today's Challenge: Today, I worked on a Easy problem from LeetCode. The challenge was to Merge nums1 and nums2 into a single array sorted in non-decreasing order..   🛠 Approach: I initially considered to use loop and conditional statements, but then opted for taking three variable i, j, k where i while track the index of nums1, j while track the index for nums2 and k will track the index of merged array. This loops and conditional statements helped optimize the solution.   💡 Key Learning: Today, I learned about how to merge two sorted array. It reinforced the importance of optimizing time complexity.   ✅ Outcome: Successfully solved the problem with a time complexity of O(m+n), and my solution passed all test cases!   🔗 #LeetCode #100DaysOfCode #CodingJourney #DataStructures #Algorithms

🚀 GeekStreak Challenge: Day 5 🚀 Today, I tackled the "Longest Valid Parentheses" problem—a classic challenge that tests our understanding of stack data structures and balanced sequences. 🧩 The goal was to find the length of the longest substring of valid parentheses in a given string. It’s a problem that dives into the essence of nested structures and requires a solid approach to handle efficiently. #geeksteak2024 #deutschebank #21_days_challenge #GeekStreak #CodingChallenge #Algorithm #Stack #DataStructures #ProgrammingJourney #KeepCoding