Longest Common Prefix: Column-Wise Early Exit Beats Pairwise Comparison Comparing strings pairwise requires multiple passes. Column-wise iteration checks all strings at each character position simultaneously — first mismatch or string exhaustion returns accumulated prefix. Early termination saves processing remaining characters. Early Exit Advantage: Best case (short prefix): O(m) where m = prefix length. Worst case: O(n × k) where k = min string length. Column-wise processing enables stopping the moment consensus breaks. Time: O(n × m) | Space: O(m) #StringAlgorithms #EarlyTermination #CommonPrefix #ColumnWiseProcessing #Python #AlgorithmOptimization #SoftwareEngineering
Column-Wise Early Exit Beats Pairwise Comparison
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✅ Day 22 of #DSAPrep > Problem: Remove Duplicates from Sorted Array > Platform: LeetCode > Concept: Two Pointers Solved this problem using the two-pointer approach to remove duplicates in-place from a sorted array. > Key Idea: - Use one pointer (i) to track unique elements - Traverse array with another pointer (j) - When a new element is found, move it forward > Time Complexity: O(n) > Space Complexity: O(1) #DSAPrep #Algorithms #Python #TwoPointers #ProblemSolving #CodingJourney
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Day 46/100 – #100DaysOfCode 🚀 Solved LeetCode #2733 – Neither Minimum nor Maximum (Python). Today I practiced sorting and simple array logic to find any element that is neither the minimum nor the maximum in the array. Approach: 1) Sort the array. 2) Check the length of the array. 3) If the size is less than or equal to 2, return -1 (no valid element exists). 4) Otherwise, return the second element as it will be neither min nor max. Time Complexity: O(n log n) Space Complexity: O(1) Understanding how sorting simplifies boundary-based problems 💪 #LeetCode #Python #DSA #Arrays #Sorting #ProblemSolving #100DaysOfCode
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💧 Max Water Problem — Two Pointer Optimization Solved Container With Most Water using the Two Pointer technique in O(n) time. Key Idea: Move the pointer with the smaller height, since it limits the water capacity. 📈 Complexity: Time → O(n) Space → O(1) Small logic shift, big optimization. #DSA #Python #TwoPointers #CodingInterview #Algorithms
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✅ Day 20 of #DSAPrep > Problem: Move Zeroes > Platform: LeetCode > Concept: Two Pointers Solved this problem using the two-pointer approach to move all zeroes to the end while maintaining the order of non-zero elements. > Key Idea: - Use one pointer to track position of non-zero elements - Traverse array and swap non-zero elements forward - Keep zeroes at the end automatically > Time Complexity: O(n) > Space Complexity: O(1) #DSAPrep #Algorithms #Python #TwoPointers #ProblemSolving #CodingJourney
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Day 33/100 – #100DaysOfCode 🚀 Solved LeetCode #1480 – Running Sum of 1d Array (Python). Today I practiced prefix sum logic to compute the running sum of an array. Approach: 1) Initialize an empty list to store the running sum. 2) Maintain a variable sum = 0. 3) Traverse the array and keep adding each element to sum. 4) Append the updated sum to the result list. 5) Return the final running sum array. Time Complexity: O(n) Space Complexity: O(n) Understanding prefix sums helps solve many array problems efficiently 💪 #LeetCode #Python #DSA #Arrays #PrefixSum #ProblemSolving #100DaysOfCode
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3Sum: Sorting + Two Pointers Reduces O(n³) to O(n²) Brute force checks all triplets — O(n³). Optimization: sort array, fix one element, use two pointers on remainder. For each anchor, find pairs summing to -anchor. Sorting enables directional movement and O(1) duplicate skipping. Duplicate Handling: Sorted order enables O(1) skipping versus HashSet deduplication. Skip duplicates at anchor and pair level to prevent identical triplets. Time: O(n²) | Space: O(1) excluding output #TwoPointers #Sorting #ComplexityReduction #3Sum #Python #AlgorithmOptimization #SoftwareEngineering
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Group Anagrams: Frequency Array as Hashable Key Sorting each string costs O(k log k) per string. Character frequency array is O(k) and creates identical signature for anagrams. Fixed 26-element array converted to tuple serves as hashable HashMap key — faster, cleaner grouping. Frequency Signature: Character counts uniquely identify anagram groups without sorting. Tuple conversion makes array hashable for dict keys. Pattern applies to document clustering, duplicate detection. Time: O(n × k) vs O(n × k log k) sorting | Space: O(n × k) #FrequencyArray #Anagrams #HashMap #KeyOptimization #Python #AlgorithmOptimization #SoftwareEngineering
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Day 53/100 – #100DaysOfCode 🚀 Solved LeetCode #125 – Valid Palindrome (Python). Today I practiced string cleaning and validation to check whether a given string is a palindrome. Approach: 1) Traverse the string and keep only alphanumeric characters. 2) Convert all characters to lowercase. 3) Build a cleaned string. 4) Compare the string with its reverse. 5) If both are equal, return True; otherwise, return False. Time Complexity: O(n) Space Complexity: O(n) Learning how preprocessing simplifies string problems 💪 #LeetCode #Python #DSA #Strings #ProblemSolving #100DaysOfCode
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Built this in an afternoon with Python Real-time hand tracking with neon AR overlays. No fancy hardware, just a webcam and a few lines of code. Tools MediaPipe (Google) OpenCV Python Just a small concept on computer vision #python #opencv #computervision
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PyVista is now regularly crossing 1 million downloads per month on PyPI. It's the 3D visualization library for Python. Learn more at pyvista.org Mesh analysis, 3D plotting, and filters that fit in with NumPy, pandas, and xarray, so your research code stays in one idiom from load to figure. Thanks to every contributor, every paper that cited the project, and every engineer who gave "pip install pyvista" a shot! NumFOCUS affiliated, MIT licensed, and built in the open #PyVista #Python #SciPy #3DVisualization #OpenSource #NumFOCUS
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