Maximizing Average Subarray with Sliding Window Technique

Day 50 on LeetCode — Maximum Average Subarray I 📊✅ Half-century milestone! 🚀 Today’s problem was a classic and clean application of the Sliding Window technique. 🔹 Approach Used in My Solution The goal was to find the maximum average of a subarray of size k. Key idea in the solution: • First, compute the sum of the first window of size k • Then slide the window forward by:   – Adding the next element   – Removing the element leaving the window • Continuously update the maximum sum encountered • Finally, divide the maximum sum by k to get the result This avoids recomputing sums and ensures an efficient solution. ⚡ Complexity: • Time Complexity: O(n) • Space Complexity: O(1) 💡 Key Takeaways: • Mastered the fixed-size sliding window pattern • Learned how to optimize subarray sum problems • Reinforced thinking in terms of window reuse instead of recomputation #LeetCode #DSA #Algorithms #DataStructures #SlidingWindow #Arrays #ProblemSolving #Coding #Programming #Cpp #STL #SoftwareEngineering #ComputerScience #CodingPractice #DeveloperLife #TechJourney #CodingDaily #100DaysOfCode #BuildInPublic #AlgorithmPractice #CodingSkills #Developers #TechCommunity #SoftwareDeveloper #EngineeringJourney

Day 48 on LeetCode Minimum Size Subarray Sum 🎯✅ Today’s problem was a perfect application of the Sliding Window technique for optimizing subarray problems. 🔹 Approach Used in My Solution The goal was to find the smallest subarray length whose sum is greater than or equal to the target. Key idea in the solution: • Use two pointers low and high to maintain a dynamic window • Expand the window by moving high and adding elements to currentSum • Once the sum becomes ≥ target, start shrinking the window from the left (low) • Continuously update the minimum length during this process • If no valid subarray is found, return 0 This approach avoids brute force and ensures we process each element at most twice. ⚡ Complexity: • Time Complexity: O(n) • Space Complexity: O(1) 💡 Key Takeaways: • Mastered the Sliding Window technique for variable window size • Learned how to optimize subarray problems from O(n²) to O(n) • Reinforced handling dynamic window expansion and contraction #LeetCode #DSA #Algorithms #DataStructures #SlidingWindow #Arrays #TwoPointers #ProblemSolving #Coding #Programming #Cpp #STL #SoftwareEngineering #ComputerScience #CodingPractice #DeveloperLife #TechJourney #CodingDaily #100DaysOfCode #BuildInPublic #AlgorithmPractice #CodingSkills #Developers #TechCommunity #SoftwareDeveloper #EngineeringJourney

Day 55 on LeetCode — Subarray Product Less Than K 📈✅ Today’s problem was a powerful application of the Sliding Window technique with multiplication-based constraints. 🔹 Approach Used in My Solution The goal was to count the number of contiguous subarrays where the product is less than k. Key idea in the solution: • Use two pointers l and r to maintain a dynamic window • Expand the window by multiplying the current element with prod • If prod ≥ k, shrink the window from the left by dividing elements • At each step, add (r - l + 1) to the count — representing all valid subarrays ending at r Also handled an important edge case: • If k ≤ 1, no valid subarray exists This approach ensures every element is processed efficiently without recomputation. ⚡ Complexity: • Time Complexity: O(n) • Space Complexity: O(1) 💡 Key Takeaways: • Strengthened understanding of sliding window with multiplicative conditions • Learned how to count subarrays efficiently using window size • Reinforced handling edge cases early for cleaner logic #LeetCode #DSA #Algorithms #DataStructures #SlidingWindow #TwoPointers #Arrays #ProblemSolving #Coding #Programming #Cpp #STL #SoftwareEngineering #ComputerScience #CodingPractice #DeveloperLife #TechJourney #CodingDaily #100DaysOfCode #BuildInPublic #AlgorithmPractice #CodingSkills #Developers #TechCommunity #SoftwareDeveloper #EngineeringJourney

🚀 Day 14/60 — LeetCode Discipline Problem Solved: Maximum Number of Vowels in a Substring of Given Length (Revision) Difficulty: Medium Today’s practice revisited another elegant application of the sliding window technique. The task was to determine the maximum number of vowels present in any substring of fixed length k. Instead of recalculating the count for every possible substring, the sliding window approach allows the window to move forward while updating the vowel count efficiently. This pattern once again highlights how maintaining a running state can transform a brute-force idea into a clean and optimal solution. 💡 Focus Areas: • Strengthened fixed-size sliding window intuition • Practiced efficient character counting • Improved substring traversal logic • Reinforced constant-time window updates • Focused on writing clean and readable code ⚡ Performance Highlight: Achieved solid runtime efficiency on submission. Each day of deliberate practice adds another layer of clarity to fundamental algorithmic patterns. #LeetCode #60DaysOfCode #100DaysOfCode #DSA #SlidingWindow #Strings #Algorithms #DataStructures #ProblemSolving #CodingJourney #SoftwareEngineering #Programming #Developers #TechCareers

Day 57 on LeetCode Longest Repeating Character Replacement 🔤✅ Today’s problem was a powerful application of the Sliding Window technique with frequency tracking. 🔹 Approach Used in My Solution The goal was to find the longest substring where we can replace at most k characters to make all characters the same. Key idea in the solution: • Use a frequency array (size 26) to track character counts in the current window • Maintain a variable maxFreq → the highest frequency character in the window • Expand the window using r • If (window size - maxFreq) > k, shrink the window from the left (l) • Continuously update the maximum valid window size This works because we only care about keeping the window valid with at most k replacements. ⚡ Complexity: • Time Complexity: O(n) • Space Complexity: O(1) 💡 Key Takeaways: • Mastered sliding window with dynamic constraints • Learned how tracking max frequency optimizes decisions • Strengthened understanding of window validation logic #LeetCode #DSA #Algorithms #DataStructures #SlidingWindow #Strings #TwoPointers #ProblemSolving #Coding #Programming #Cpp #STL #SoftwareEngineering #ComputerScience #CodingPractice #DeveloperLife #TechJourney #CodingDaily #100DaysOfCode #BuildInPublic #AlgorithmPractice #CodingSkills #Developers #TechCommunity #SoftwareDeveloper #EngineeringJourney

🚀 Day 15/60 — LeetCode Discipline Problem Solved: Longest Repeating Character Replacement (Revision) Difficulty: Medium Today’s session revisited a classic sliding window problem that focuses on maximizing a repeating character substring after performing at most k replacements. The challenge here is not just scanning the string, but intelligently maintaining a window where the number of characters that need replacement stays within the allowed limit. By tracking character frequencies and dynamically adjusting the window, the solution efficiently finds the longest valid substring. Problems like this beautifully demonstrate how combining frequency counting with sliding window logic can turn a brute-force approach into a clean linear-time solution. 💡 Focus Areas: • Strengthened variable-size sliding window technique • Practiced frequency array optimization • Improved window shrink/expand decision logic • Reinforced substring pattern recognition • Focused on writing efficient and readable code ⚡ Performance Highlight: Achieved ~89% runtime efficiency on submission. Each day of deliberate practice is sharpening my understanding of algorithmic patterns and strengthening problem-solving intuition. #LeetCode #60DaysOfCode #100DaysOfCode #DSA #SlidingWindow #Strings #Algorithms #DataStructures #ProblemSolving #CodingJourney #SoftwareEngineering #Programming #Developers #TechCareers

Day 45 on LeetCode — Sort Colors 🎨✅ Today’s problem focused on counting technique and efficient array reconstruction. 🔹 Approach Used in My Solution Instead of sorting using a traditional algorithm, I applied a counting approach. Since the array only contains three possible values (0, 1, and 2), we can simply count their frequencies and rebuild the array. Key steps in the logic: • Traverse the array and count occurrences of 0s, 1s, and 2s using a small count array • Refill the original array based on these counts • Place all 0s first, followed by 1s, and then 2s This method avoids unnecessary comparisons and keeps the logic simple and efficient. ⚡ Complexity: • Time Complexity: O(n) • Space Complexity: O(1) 💡 Key Takeaways: • Counting techniques can simplify problems with limited value ranges • Practiced frequency counting and array reconstruction • Reinforced writing clean linear-time solutions #LeetCode #DSA #Algorithms #DataStructures #Arrays #CountingSort #ProblemSolving #Coding #Programming #Cpp #STL #SoftwareEngineering #ComputerScience #CodingPractice #DeveloperLife #TechJourney #CodingDaily #100DaysOfCode #BuildInPublic #AlgorithmPractice #CodingSkills #Developers #TechCommunity #SoftwareDeveloper #EngineeringJourney

🚀 Day 12/60 — LeetCode Discipline Problem Solved: Minimum Window Substring (Revision) Difficulty: Hard Today’s session focused on revisiting one of the most well-known sliding window problems — Minimum Window Substring. This problem requires careful management of character frequencies while dynamically expanding and shrinking the window to maintain the required conditions. It’s a great exercise in mastering window control and efficient string handling. 💡 Focus Areas: • Strengthened variable-size sliding window technique • Practiced frequency counting with hash structures • Improved window expansion and contraction logic • Enhanced understanding of substring optimization strategies • Focused on writing efficient and readable code ⚡ Performance Highlight: Achieved ~99.7% runtime efficiency on submission. Problems like these are a great reminder that strong fundamentals and careful window management can unlock elegant and highly efficient solutions. #LeetCode #60DaysOfCode #100DaysOfCode #DSA #SlidingWindow #Strings #HashMap #Algorithms #DataStructures #ProblemSolving #CodingJourney #SoftwareEngineering #TechCareers #Programming #Developers

🚀 Day 13/60 — LeetCode Discipline Problem Solved: Contains Duplicate II (Revision) Difficulty: Easy Today’s practice focused on revisiting a classic array problem that blends hashing with a sliding window concept. The goal was to efficiently determine whether duplicate values appear within a specific index range. Instead of checking every possible pair, the approach maintains a moving window of elements using a hash structure, allowing constant-time lookups while traversing the array. 💡 Focus Areas: • Reinforced hash-based lookup techniques • Practiced sliding window with bounded size • Strengthened index-distance reasoning • Improved understanding of time-efficient duplicate detection • Focused on clean and readable implementation Even simple problems can reinforce powerful ideas when approached with discipline and clarity. #LeetCode #60DaysOfCode #100DaysOfCode #DSA #SlidingWindow #HashSet #Arrays #Algorithms #DataStructures #ProblemSolving #CodingJourney #SoftwareEngineering #Programming #Developers

🚀 Day 16/60 — LeetCode Discipline Problem Solved: Palindrome Number (Revision) Difficulty: Easy Today’s practice revisited a classic number-based problem — determining whether a given integer reads the same forward and backward. Even though the problem appears simple, it reinforces an important concept: recognizing symmetry in data and applying straightforward transformations to verify it efficiently. In this revision, the focus was on converting the integer into a comparable structure and checking whether the reversed representation matches the original value. 💡 Focus Areas: • Reinforced palindrome symmetry concepts • Practiced number-to-string transformations • Strengthened basic logical validation techniques • Focused on writing clear and readable code Consistent practice of even the simplest problems helps keep fundamental logic sharp and reliable. #LeetCode #60DaysOfCode #100DaysOfCode #DSA #Algorithms #ProblemSolving #Programming #CodingJourney #SoftwareEngineering #Developers #TechCareers