DaleStudy/leetcode-study
Apr 2025 – Jul 2025
4 Months active
Languages Used
Python
Technical Skills
AlgorithmAlgorithm DesignAlgorithm ImplementationAlgorithm OptimizationAlgorithm RefactoringAlgorithms
printjin
PROFILE
Printjin
Over four months, Jin contributed to the DaleStudy/leetcode-study repository by developing and refining 59 algorithmic features and resolving 7 bugs, focusing on core data structures, dynamic programming, and graph theory. Jin implemented solutions for problems spanning arrays, trees, graphs, and strings, emphasizing maintainability and correctness through code refactoring, linting, and standardized file management. Using Python, Jin introduced efficient patterns such as Trie-based search, topological sort, and expand-around-center for palindromic detection. The work demonstrated depth in algorithm design and optimization, improved CI stability, and enhanced the repository’s value as a resource for interview preparation and collaborative learning.
Overall Statistics
Feature vs Bugs
89%Features
Repository Contributions
105Total
Bugs
7
Commits
105
Features
59
Lines of code
1,345
Activity Months4
Your Network
251 people
Work History
July 2025
6 Commits • 6 Features
Jul 1, 2025July 2025 performance summary for DaleStudy/leetcode-study: Delivered six new algorithmic solutions across trees, strings, graphs, and matrices, enhancing the repository’s breadth, learning value, and code reuse. Implementations emphasize efficient patterns such as Trie with DFS, hashmap-backed tree construction, expand-around-center, and topological sort, with attention to edge-case handling and readability. In-Place Image Rotation (90 Degrees) was also implemented (commit 816103447dcc2d7d6cbab0331e4813260c8261a8).
6 Commits • 6 Features
Jul 1, 2025July 2025 performance summary for DaleStudy/leetcode-study: Delivered six new algorithmic solutions across trees, strings, graphs, and matrices, enhancing the repository’s breadth, learning value, and code reuse. Implementations emphasize efficient patterns such as Trie with DFS, hashmap-backed tree construction, expand-around-center, and topological sort, with attention to edge-case handling and readability. In-Place Image Rotation (90 Degrees) was also implemented (commit 816103447dcc2d7d6cbab0331e4813260c8261a8).
July 2025
June 2025
23 Commits • 12 Features
Jun 1, 2025June 2025 highlights for DaleStudy/leetcode-study: Delivered a broad portfolio of algorithm solutions across trees, graphs, arrays, DP, and linked lists, with a focus on reliability, maintainability, and interview readiness. Key features include core problem-solving implementations, a binary-tree persistence capability, and robust graph/array coverage, advancing both practical utility and technical depth for the repository.
June 2025
23 Commits • 12 Features
Jun 1, 2025June 2025 highlights for DaleStudy/leetcode-study: Delivered a broad portfolio of algorithm solutions across trees, graphs, arrays, DP, and linked lists, with a focus on reliability, maintainability, and interview readiness. Key features include core problem-solving implementations, a binary-tree persistence capability, and robust graph/array coverage, advancing both practical utility and technical depth for the repository.
May 2025
30 Commits • 19 Features
May 1, 2025May 2025 highlights for DaleStudy/leetcode-study: Delivered a breadth of algorithmic solutions across 19 LeetCode problems, implemented a robust add-and-search words data structure, and fixed regressions and lint issues to improve code quality and readiness for interview practice. Focused on delivering business-value through practical problem-solving and maintainable code.
30 Commits • 19 Features
May 1, 2025May 2025 highlights for DaleStudy/leetcode-study: Delivered a breadth of algorithmic solutions across 19 LeetCode problems, implemented a robust add-and-search words data structure, and fixed regressions and lint issues to improve code quality and readiness for interview practice. Focused on delivering business-value through practical problem-solving and maintainable code.
May 2025
April 2025
46 Commits • 22 Features
Apr 1, 2025April 2025 monthly summary for DaleStudy/leetcode-study: Delivered a broad set of algorithmic solutions and refactors, with a strong emphasis on correctness, readability, and maintainability. Key features and enhancements span array/string/DP problems, tree structures, and foundational data-structures; quality improvements include lint fixes and code standardization to improve CI stability and onboarding. This work enhances platform learning value and establishes a solid baseline for future problem sets.
April 2025
46 Commits • 22 Features
Apr 1, 2025April 2025 monthly summary for DaleStudy/leetcode-study: Delivered a broad set of algorithmic solutions and refactors, with a strong emphasis on correctness, readability, and maintainability. Key features and enhancements span array/string/DP problems, tree structures, and foundational data-structures; quality improvements include lint fixes and code standardization to improve CI stability and onboarding. This work enhances platform learning value and establishes a solid baseline for future problem sets.
Activity
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Quality Metrics
Correctness97.8%
Maintainability96.2%
Architecture94.4%
Performance90.8%
AI Usage20.8%
Skills & Technologies
Programming Languages
Python
Technical Skills
AlgorithmAlgorithm DesignAlgorithm ImplementationAlgorithm OptimizationAlgorithm RefactoringAlgorithmsArray ManipulationBacktrackingBinary SearchBinary Search TreeBinary Search TreesBinary TreesBit ManipulationBreadth-First SearchBrute Force
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