🚀 Day 52 of #100DaysOfCode Solved LeetCode Problem #712 – Minimum ASCII Delete Sum for Two Strings. This problem focused on minimizing the total ASCII value of deleted characters to make two strings equal. A classic dynamic programming challenge that required carefully defining states and transitions for optimal substructure. Key Learnings: -> Modeled the problem using DP on string indices -> Handled base cases when one string is fully consumed -> Used memoization to avoid overlapping subproblems Strengthened understanding of string DP and cost-based optimization Language Used: Java -> Runtime: 34 ms (Beats 7.60%) -> Memory: 50.39 MB Consistent practice, deeper DP intuition, and steady progress 🚀 #LeetCode #DynamicProgramming #Java #ProblemSolving #100DaysOfCode
LeetCode 712: Minimizing ASCII Delete Sum with Java DP
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DSA journey 🚀 📌 LeetCode #977 – Squares of a Sorted Array 💻 Language: Java 🔹 Approach (Two Pointer Technique): Initialize two pointers at the start and end of the array Compare squares of both ends Place the larger square at the end of the result array Move pointers inward accordingly Continue until all elements are processed This works because the array is already sorted, but negative numbers can produce larger squares 💡 ⏱ Time Complexity: O(n) 🧩 Space Complexity: O(n) Efficient and elegant ✨ Consistency over perfection 💯 #DSA #Java #LeetCode #ProblemSolving #LearningInPublic
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🚀 Day 67 of #100DaysOfCode Solved LeetCode Problem #1984 – Minimum Difference Between Highest and Lowest of K Scores ✅ This problem focused on minimizing the score gap by smartly selecting k elements after sorting the array. A perfect example of how sorting + sliding window logic can turn a problem simple and efficient. Key Learnings: -> Sorting simplifies comparisons -> Sliding window to evaluate consecutive groups of size k -> Avoid brute force by leveraging order -> Small observations lead to clean solutions Language Used: Java -> Runtime: 8 ms (Beats 89.22%) -> Memory: 47.09 MB (Beats 25.34%) Consistency > Intensity 💪 On to the next challenge 🚀 #LeetCode #Java #ProblemSolving #Algorithms #Sorting #SlidingWindow #100DaysOfCode
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Day25 - LeetCode Journey Solved LeetCode 344: Reverse String in Java ✅ This was a simple problem on the surface, but it perfectly highlights how powerful clean logic can be. The goal was to reverse a string in-place using O(1) extra space, which means no extra arrays and no shortcuts. Just pure two-pointer logic. Using the left and right pointers and swapping characters step by step felt very satisfying. It’s one of those patterns that looks small but appears everywhere in interviews and real-world problems. Mastering this makes many string and array problems much easier later on. What I liked about this problem is how it teaches efficiency. Instead of creating new memory, we directly modify the existing array. That mindset of optimizing space is extremely important in DSA. Key takeaways: • Strong practice of the two-pointer technique • In-place operations with constant extra space • Clean and readable swapping logic • Reinforced fundamentals of string manipulation ✅ Accepted successfully ✅ 0 ms runtime with optimal performance Sometimes the simplest problems build the strongest foundations. Consistency with basics is what makes complex problems feel easier later 💪 #LeetCode #DSA #Java #Strings #ProblemSolving #Algorithms #CodingJourney #InterviewPreparation #TwoPointers #Consistency #DailyPractice
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Finished working through Arrays & ArrayLists today. This module felt like the point where coding stopped being about Java syntax and started being about how to think. What arrays actually taught me: - indices matter more than the values themselves - in-place operations need careful planning - small boundary mistakes break logic completely - many problems are solved by reusing a few core patterns - breaking a problem into steps makes it manageable - optimization only makes sense after correctness Working with ArrayLists alongside arrays also made the trade-offs clearer — convenience vs control. Problems like rotation, sorting with pointers, and finding missing elements forced me to slow down and reason instead of guessing. This module made me more comfortable with problem-solving and showed me where I still need practice. Moving forward with a better foundation. #Java #DSA #Arrays #LearningInPublic #ProblemSolving #CodingJourney #JavaDeveloper
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LeetCode Daily — Problem #3794: Reverse String Prefix Today’s challenge was a fun string manipulation task: Problem: Given a string s and an integer k, reverse the first k characters and return the resulting string. Example: Input: s = "abcd", k = 2 Output: "bacd" Approach: I converted the string to a character array, reversed the first k characters using a loop, and then appended the rest. Here's the Java solution:✅ Result: Accepted with 0 ms runtime! Takeaway: This problem reinforced how simple logic and clean iteration can solve string-based challenges efficiently. It’s a great reminder that even “Easy” problems can sharpen your fundamentals. #LeetCode #Java #StringManipulation #CodingChallenge #100DaysOfCode #ProblemSolving #LinkedInLearning
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Day22 - LeetCode Journey Solved LeetCode 242: Valid Anagram in Java ✅ This problem was a nice reminder of how simple ideas can lead to clean and effective solutions. Checking whether two strings are anagrams really comes down to understanding character frequency and order. By sorting both strings and comparing them character by character, the logic becomes very straightforward and easy to follow. What I liked about this problem is how it strengthens fundamentals of string handling and arrays. It also shows how preprocessing data can simplify the main comparison logic. Small steps like converting strings to character arrays and sorting them make the solution both readable and reliable. Key takeaways: • Better understanding of string to array conversion • Using sorting as a tool to simplify comparisons • Writing clean and minimal logic • Strengthening basics of string manipulation ✅ All test cases passed successfully ✅ Logic kept simple and efficient ✅ Another step forward in building strong DSA foundations Consistency with such problems really builds confidence over time 💪 #LeetCode #Java #DSA #Strings #ValidAnagram #ProblemSolving #CodingJourney #InterviewPreparation #Algorithms #Consistency #LearningEveryday
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DSA journey 🚀 📌 LeetCode #167 – Two Sum II (Input Array Is Sorted) 💻 Language: Java 🔹 Approach (Two Pointer Technique): Initialize two pointers at the start and end of the sorted array Calculate the sum of both pointers If the sum equals the target → return 1-based indices If the sum is smaller than the target → move the start pointer forward If the sum is greater than the target → move the end pointer backward Efficient use of the sorted property 💡 ⏱ Time Complexity: O(n) 🧩 Space Complexity: O(1) Step-by-step clarity before optimization ✨ Consistency over perfection 💯 #DSA #Java #LeetCode #ProblemSolving #LearningInPublic
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50 lines of code vs. 1 line. Who wins? 🥊 If you’re still writing getters, setters, constructors, and toString methods manually in 2026, you are working too hard. Java Records changed the game by killing "Boilerplate Hell." It turns a massive, messy POJO into a single, elegant line of code. In my latest blog post, I break down: ✅ Why "Data as Data" is better than "Data as Behavior." ✅ The "Freebies" you get from the compiler. ✅ Real-world scenarios where Records shine. Read the full breakdown here: 👇 https://lnkd.in/gUkyPU8c #Java #CleanCode #SoftwareEngineering #BackendDevelopment #JavaRecords #ProgrammingTips
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🚀Day 14 of #120DaysOfCode 📌 Problem: Matrix Reshape(566) 📌 Language: Java 🔍Approach 1. Check if Reshape is possible 2. Traverse the original matrix in row order 3. Mapping logic ⏱️ Time and Space Complexity Time Complexity: O(m x n) Space complexity: O(r x c) 🔥One problem closer to mastery #120DaysOfCode #Day14 #Java #Array #Leetcode #ProblemSolving #Consistency #LearningEveryday #LearningPublic #DSA
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