Today I solved an interesting LeetCode problem and made a short explanation video for it. Problems like these really help in improving problem-solving and logical thinking which is very important for technical interviews. Sharing the solution here. If you are learning programming, try solving it yourself first before watching the solution. Consistent practice is the key to mastering Data Structures & Algorithms. YouTube Link: https://lnkd.in/gBmMqfXd #leetcode #programming #dsa #coding #learning

𝑪𝙤𝒅𝙞𝒏𝙜 𝙋𝒓𝙤𝒃𝙡𝒆𝙢 – 𝘾𝒐𝙪𝒏𝙩 𝙎𝒖𝙗𝒂𝙧𝒓𝙖𝒚𝙨 𝙒𝒊𝙩𝒉 𝑺𝙪𝒎 𝑲 Given an integer array and a number K, determine the number of continuous subarrays whose sum equals K. This problem is commonly used to test array traversal, prefix sum concepts, and hash map optimization techniques in coding interviews. Try solving it yourself! 𝑪𝙤𝒎𝙢𝒆𝙣𝒕 𝒚𝙤𝒖𝙧 𝙨𝒐𝙡𝒖𝙩𝒊𝙤𝒏 𝒃𝙚𝒍𝙤𝒘 👇 #Coding #Programming #DSA #InterviewPreparation #Savecode

𝑪𝒐𝒅𝒊𝒏𝒈 𝑷𝒓𝒐𝒃𝒍𝒆𝒎 – 𝑭𝒊𝒓𝒔𝒕 𝑵𝒐𝒏-𝑹𝒆𝒑𝒆𝒂𝒕𝒊𝒏𝒈 𝑪𝒉𝒂𝒓𝒂𝒄𝒕𝒆𝒓 Given a string S, determine the first character that appears only once in the string. 𝑬𝒙𝒂𝒎𝒑𝒍𝒆: 𝑰𝒏𝒑𝒖𝒕: aabbcdd 𝑶𝒖𝒕𝒑𝒖𝒕: c 𝑬𝒙𝒑𝒍𝒂𝒏𝒂𝒕𝒊𝒐𝒏 Character frequencies in the string: a → 2 b → 2 c → 1 d → 2 The first character with frequency 1 is 'c', so the output is 𝒄. Problems like this help improve string manipulation and frequency counting skills, which are commonly asked in coding interviews and online assessments. 𝑻𝒓𝒚 𝒔𝒐𝒍𝒗𝒊𝒏𝒈 𝒊𝒕 𝒚𝒐𝒖𝒓𝒔𝒆𝒍𝒇! 𝑪𝒐𝒎𝒎𝒆𝒏𝒕 𝒚𝒐𝒖𝒓 𝒂𝒏𝒔𝒘𝒆𝒓 𝒃𝒆𝒍𝒐𝒘 👇 #Coding #Programming #DSA #InterviewPreparation #SavecodeS

🚀 Day 47 of DSA Problem: Longest Palindromic Substring A palindrome reads the same forward and backward. The challenge was to find the longest such substring inside a given string. 💡 Key Idea: Expand around each character (center) and check both odd and even length palindromes. ⏱ Time Complexity: O(n²) 💾 Space Complexity: O(1) This problem reinforced how choosing the right approach can drastically reduce complexity compared to brute force solutions. Consistent practice is sharpening my problem-solving skills step by step. 💪 #DSA #Java #CodingPractice #LeetCode #Programming #ProblemSolving

Today I worked on leetcode problem no. 1415 The k-th Lexicographical Happy String of Length n.” First, let's understand the concept. A happy string is a string that: Uses only the characters 'a', 'b', 'c' Does not allow two adjacent characters to be the same Concepts practiced: Backtracking Lexicographical ordering Recursion Start with an empty string Try adding 'a', 'b', 'c' Skip a character if it is the same as the previous one When the string length becomes n, we found one valid happy string Since we generate them in lexicographical order, the moment we reach the k-th string, that is our answer. #leetcode #leetcode1415 #dsa #datastructures #algorithms #backtracking #recursion #coding #programming #problemSolving #codingpractice #softwareengineering #developer #codinglife #computerscience #codingjourney #learncoding #codingcommunity #buildinpublic #100daysofcode #competitiveprogramming #cpp #techskills

Most people don’t struggle with Dynamic Programming because it’s hard. They struggle because they were never taught how to think in DP. If DP still feels random to you on LeetCode or CodeForces , this is exactly what’s missing. Dynamic Programming is not about memorizing patterns. It’s about understanding states, transitions, and building solutions step by step. This structured series is designed for anyone serious about DSA and problem solving. What you’ll master: • How to think in states and transitions • From basic recursion to advanced DP patterns • DP on arrays, strings, grids, and trees • Optimization techniques (space and time) • Combining DP with Greedy and Binary Search • Solving hard problems with clarity, not guesswork Whether you're preparing for interviews or aiming to get better at contests, this covers both. No random questions. No gaps. Just a clear roadmap to mastering DP the right way. If DP has ever felt confusing, this will change how you approach problems. Playlist: https://lnkd.in/gaBaDQZN Channel: https://lnkd.in/gTRG5v9M #dsa #dynamicprogramming #leetcode #codeforces #coding #interviewprep

I used to think "real coding" meant fighting with memory leaks and obscure compiler errors. 🥲 But the next generation of languages (Rust, Go, Zig) feels different. They focus on: ✅ Human-first syntax ✅ Speed without the headache ✅ Tools that catch errors before you run the code It’s less about fighting the machine and more about just… building. If you could wave a magic wand, what’s one thing you’d change about your current coding language? 👇 #Coding #Programming #Rustlang #Tech

Day 54 of Practicing DSA (LeetCode && Competitive Programming) Today’s progress: LeetCode • Maximum Product Subarray – Medium Focused on: • Understanding Kadane’s Algorithm variation • Tracking both maximum and minimum product (due to negative numbers) • Handling sign changes effectively • Improving intuition for dynamic programming in arrays This problem deepened my understanding of how negative values impact subarray problems. Competitive Programming • Continued practicing problem-solving patterns Improved my thinking on: • Handling edge cases in array-based problems • Writing optimized solutions with better logic clarity Daily progress may look small, but it’s building strong fundamentals 💪 Consistency is the real game 🔥 #DSA #Java #LeetCode #Codeforces #DynamicProgramming #Arrays #ProblemSolving #Consistency #Learnin

Solved the Maximum Subarray Sum problem using Kadane’s Algorithm. The approach efficiently finds the maximum sum of a contiguous subarray by maintaining a running sum and updating the maximum value during traversal. Instead of checking all possible subarrays, the algorithm decides at each step whether to continue the current subarray or start a new one, resulting in an efficient single-pass solution. Time Complexity: O(n) Space Complexity: O(1) Learning optimized algorithms like this helps in improving problem-solving skills and writing efficient and interview-ready code. #Java #DSA #ProblemSolving #Coding #SoftwareEngineering #LeetCode #Developers