🚀 DSA Learning Journey | Day 5 | Java Solved “Maximum Product Subarray.” 💡 Key Idea: Tracked both maximum and minimum products at each step since a negative number can flip the sign and turn a minimum into a maximum. ⚙ Implementation • Language: Java • Time Complexity: O(n) • Space Complexity: O(1) 📚 Learning how handling negative numbers and dynamic updates is important in product-based subarray problems. #Java #DSA #LeetCode #ProblemSolving #JavaDeveloper #Algorithms
Java DSA: Maximum Product Subarray Solution
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🚀 DSA Learning Journey | Day 9 | Java Solved “125. Valid Palindrome.” 💡 Key Idea: Used Two Pointers while ignoring non-alphanumeric characters and comparing characters in a case-insensitive way. ⚙ Implementation • Language: Java • Time Complexity: O(n) • Space Complexity: O(1) 📚 Learning how two-pointer technique simplifies string validation problems. #Java #DSA #LeetCode #ProblemSolving #TwoPointers #JavaDeveloper
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🚀 DSA Learning Journey | Day 6 | Java Solved “Find Minimum in Rotated Sorted Array.” 💡 Key Idea: Used Binary Search to locate the pivot point where the rotation happens and identify the minimum element efficiently. ⚙ Implementation • Language: Java • Time Complexity: O(log n) • Space Complexity: O(1) 📚 Learning how binary search can be applied to modified sorted arrays. #Java #DSA #LeetCode #ProblemSolving #BinarySearch #JavaDeveloper #day6
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🚀 Learning Java the Right Way Today, I practiced an interesting DSA problem — 👉 Find Peak Element (Using Binary Search) 📌 Problem: Find an element in an array that is greater than its neighbors. Example: Array → {1, 3, 20, 4, 1, 0} Output → 20 ✅ 🔹 Key Learning: Instead of using a linear approach (O(n)), I solved it using Binary Search in O(log n) by analyzing the slope of the array. 📌 Approach: Compare mid with mid + 1 If increasing → move right If decreasing → move left Peak is found when both sides are smaller This problem helped me understand: ✔ Advanced Binary Search application ✔ Logical decision making ✔ Optimization techniques ✔ Pattern recognition in arrays Not every Binary Search problem is straightforward — adapting it to different patterns is the real skill 💪 📌 Think smart • Analyze patterns • Optimize solutions 🚀 #java #javafullstack #javadeveloper #corejava #codingjourney #coding
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🚀 DSA Learning Journey | Day 8 | Java Solved “Longest Substring Without Repeating Characters.” 💡 Key Idea: Used Sliding Window + HashSet to maintain a window of unique characters and expand/shrink it dynamically. ⚙ Implementation • Language: Java • Time Complexity: O(n) • Space Complexity: O(n) 📚 Learning how the sliding window technique helps optimize substring problems efficiently. #Java #DSA #LeetCode #ProblemSolving #SlidingWindow #JavaDeveloper
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🚀 Day 40 / 180 – DSA with Java 🚀 📘 Topic Covered: Binary Exponentiation (Fast Power) 🧩 Problem Solved: Pow(x, n) Problem: Implement a function to calculate x raised to the power n, handling both positive and negative values of n. Approach: Used Binary Exponentiation to reduce time complexity. Repeatedly squared the base and halved the exponent, multiplying the result only when needed. Also handled negative powers by taking the reciprocal. Key Learning: ✔️ Optimizing from O(n) to O(log n) ✔️ Understanding divide-and-conquer in exponentiation ✔️ Handling edge cases like negative powers If you’re also preparing for DSA, let’s connect and learn together 🤝 #DSA #Java #180DaysOfCode #LearningInPublic #ProblemSolving #Consistency
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🚀 DSA Learning Journey | Day 13 | Java Solved “20. Valid Parentheses.” 💡 Key Idea: Used a Stack to track opening brackets and match them with corresponding closing brackets. ⚙ Implementation • Language: Java • Time Complexity: O(n) • Space Complexity: O(n) 📚 Learning: How stack data structure helps in solving matching and validation problems efficiently. #JavaDeveloper #DSA #LeetCode #ProblemSolving #Stack #Algorithms #CodingJourney #100DaysOfCode #DevelopersOfLinkedIn
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💻 Practicing Binary to Decimal Conversion using Java Today I worked on converting a binary number into its decimal equivalent using logic and iteration. 🔍 Key Learnings: Understanding how binary digits map to powers of 2 Strengthening loop and mathematical logic Improving problem-solving skills step by step Instead of just memorizing, I focused on understanding the logic deeply and practicing with different inputs. 📌 Example: Binary: 1010 → Decimal: 10 Consistency + Practice = Progress 🚀 #Java #DSA #CodingJourney #Programming #100DaysOfCode #LearnToCode #ProblemSolving #DeveloperJourney #CodingPractice #TechSkills
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🔥 Turning logic into performance! 🔥 Just cracked the Two Sum problem using the Two Pointer approach in Java — and the results are super satisfying 👇 ⚡ Runtime: 2 ms (Beats 96.34%) ⚡ Memory: Optimized & efficient ⚡ Approach: Clean, scalable, and interview-ready 💡 What made the difference? Instead of going with brute force, I leveraged the power of pattern recognition and applied the two-pointer technique on a sorted array — reducing complexity and boosting performance 🚀 🧠 Key Takeaways: ✨ Patterns > Memorization ✨ Optimization matters ✨ Writing clean code is a superpower ✨ Every problem is an opportunity to think deeper 📈 Slowly but surely, leveling up my DSA skills and building a strong problem-solving mindset. Consistency + Curiosity = Growth 💯 Let’s keep pushing limits 💪 #Java #DSA #LeetCode #CodingJourney #ProblemSolving #100DaysOfCode #Tech #Learning #Developers
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🚀 DSA Learning Journey | Day 7 | Java Solved “Single Number.” 💡 Key Idea: Used Bit Manipulation (XOR) — identical numbers cancel out, leaving the unique element. ⚙ Implementation • Language: Java • Time Complexity: O(n) • Space Complexity: O(1) 📚 Learning how XOR helps solve problems efficiently without extra space. #Java #DSA #LeetCode #ProblemSolving #BitManipulation #JavaDeveloper
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🚀 Another step forward in my Java + DSA journey Focused on strengthening problem-solving through creating methods/functions: • Prime number check using √n optimization and early return • Palindrome logic by reversing digits • Factorial with correct loop conditions and edge cases • Clear understanding of return vs print in methods • Writing cleaner, reusable and readable functions 💡 Key takeaway: Breaking problems into methods makes logic clearer and code reusable. Consistent learning, stronger fundamentals 🧠🔥 #Java #DSA #ProblemSolving #Functions #LearningInPublic #Consistency #CodingJourney
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