DaleStudy/leetcode-study
Mar 2026 – Mar 2026
1 Month active
Languages Used
Python
Technical Skills
PythonPython programmingalgorithm designalgorithm developmentdata structuresdynamic programming
river
PROFILE
River
During March 2026, Bluuminn developed a suite of seven algorithmic solutions for the DaleStudy/leetcode-study repository, focusing on efficient problem-solving in Python. Their work addressed classic challenges such as duplicate detection, two-sum computation, and finding top frequent elements, each implemented with scalable O(n) approaches using sets, dictionaries, and bucket sort. Bluuminn also tackled dynamic programming with a memoized climbing stairs solution and engineered an O(n) product-of-array-except-self algorithm without division. Emphasizing clarity and performance, they leveraged core skills in Python, data structures, and algorithm design, delivering well-documented, traceable features that support learning and robust coding practice for users.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
7Total
Bugs
0
Commits
7
Features
7
Lines of code
264
Activity Months1
Your Network
289 peopleWork History
March 2026
7 Commits • 7 Features
Mar 1, 2026March 2026 – DaleStudy/leetcode-study: Implemented a suite of efficient algorithm solutions across seven problems, with a strong emphasis on performance, clarity, and learning value for users practicing coding problems. Key features delivered with clear commit traceability and scalable approaches: - Contains Duplicate Check: set-based O(n) lookup. Commit 33aebaf3e1f077af39473bc0703d3ece99c42b5b - Two Sum Solver: dictionary-based O(n) solution with an explanatory note on contains-duplicate reasoning. Commit 4701189d14903f0375f71c303c3e4182cc1cfefd - Top K Frequent Elements: frequency counting with bucket sort for O(n) performance. Commit 8b3836fdc1ed47a893b7e57136181158f94775ff - Longest Consecutive Sequence: set-based O(n) solution. Commit b9bb77a91d5946271fcd890fdd6455c4f5dfc087 - Anagram Check: character-count-based determination of anagrams. Commit ea20498e2ce163ddb04a834831a11413d407496c - Climbing Stairs DP: memoized dynamic programming approach to optimize performance. Commit e9528a035c0c28cbb00de6b7ff20a9c346642c19 - Product of Array Except Self: O(n) solution without division using left/right cumulative products (O(n) time and O(n) space). Commit fd52c8717a9c8e7bfa19d412afd09b1979f435ba
7 Commits • 7 Features
Mar 1, 2026March 2026 – DaleStudy/leetcode-study: Implemented a suite of efficient algorithm solutions across seven problems, with a strong emphasis on performance, clarity, and learning value for users practicing coding problems. Key features delivered with clear commit traceability and scalable approaches: - Contains Duplicate Check: set-based O(n) lookup. Commit 33aebaf3e1f077af39473bc0703d3ece99c42b5b - Two Sum Solver: dictionary-based O(n) solution with an explanatory note on contains-duplicate reasoning. Commit 4701189d14903f0375f71c303c3e4182cc1cfefd - Top K Frequent Elements: frequency counting with bucket sort for O(n) performance. Commit 8b3836fdc1ed47a893b7e57136181158f94775ff - Longest Consecutive Sequence: set-based O(n) solution. Commit b9bb77a91d5946271fcd890fdd6455c4f5dfc087 - Anagram Check: character-count-based determination of anagrams. Commit ea20498e2ce163ddb04a834831a11413d407496c - Climbing Stairs DP: memoized dynamic programming approach to optimize performance. Commit e9528a035c0c28cbb00de6b7ff20a9c346642c19 - Product of Array Except Self: O(n) solution without division using left/right cumulative products (O(n) time and O(n) space). Commit fd52c8717a9c8e7bfa19d412afd09b1979f435ba
March 2026
Activity
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Quality Metrics
Correctness100.0%
Maintainability88.6%
Architecture88.6%
Performance97.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
PythonPython programmingalgorithm designalgorithm developmentdata structuresdynamic programmingproblem solving
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