Live-Coding-Test/Algorithm-study
Mar 2025 – Mar 2025
1 Month active
Languages Used
Python
Technical Skills
2D Array ManipulationAlgorithmBinary SearchCombinatoricsData StructuresDepth First Search
rachel4w2
PROFILE
Rachel4w2
Developed a comprehensive suite of algorithmic solutions within the Live-Coding-Test/Algorithm-study repository, delivering 23 new features and addressing a critical bug in problem sequencing over one month. Focused on end-to-end implementations for rounds 87 through 100, the work emphasized reproducibility and onboarding efficiency through well-documented, traceable commits. Leveraged Python to apply advanced techniques such as dynamic programming, graph traversal, and greedy algorithms, consolidating solutions into a scalable reference for ongoing benchmarking and evaluation. The approach prioritized code quality and maintainability, ensuring that each solution contributed to a robust foundation for future algorithmic practice and collaborative development efforts.
Overall Statistics
Feature vs Bugs
96%Features
Repository Contributions
45Total
Bugs
1
Commits
45
Features
23
Lines of code
879
Activity Months1
Your Network
1143 peopleShared Repositories
12
Work History
March 2025
45 Commits • 23 Features
Mar 1, 2025For 2025-03, delivered a comprehensive set of algorithm solutions and stability improvements in Live-Coding-Test/Algorithm-study. Implemented end-to-end problem-solutions across multiple rounds (87차 to 100차) with 1-3 problems per round, consolidating work into a coherent, scalable repository and establishing a strong foundation for ongoing practice and benchmarking. Addressed a critical bug in problem ordering for 89차 1/2 problems to ensure correct sequencing and expectations. Maintained high traceability and code quality through extensive, well-documented commits across all rounds, enabling reproducibility and faster onboarding for new contributors.
45 Commits • 23 Features
Mar 1, 2025For 2025-03, delivered a comprehensive set of algorithm solutions and stability improvements in Live-Coding-Test/Algorithm-study. Implemented end-to-end problem-solutions across multiple rounds (87차 to 100차) with 1-3 problems per round, consolidating work into a coherent, scalable repository and establishing a strong foundation for ongoing practice and benchmarking. Addressed a critical bug in problem ordering for 89차 1/2 problems to ensure correct sequencing and expectations. Maintained high traceability and code quality through extensive, well-documented commits across all rounds, enabling reproducibility and faster onboarding for new contributors.
March 2025
Activity
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Quality Metrics
Correctness86.6%
Maintainability85.4%
Architecture74.2%
Performance80.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
2D Array ManipulationAlgorithmBinary SearchCombinatoricsData StructuresDepth First SearchDepth First Search (DFS)Dynamic ProgrammingGraph AlgorithmsGraph TraversalGreedy AlgorithmHeapOptimizationPathfindingPermutations
Repositories Contributed To
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