leejihoindaeyo/Uwith_DataStructure
Nov 2024 – Nov 2024
1 Month active
Languages Used
MarkdownPython
Technical Skills
AlgorithmAlgorithmsBFSBinary SearchBreadth-First Search (BFS)DFS
janginh
PROFILE
Janginh
During November 2024, Lee Jihoin expanded the algorithmic problem library in the leejihoindaeyo/Uwith_DataStructure repository, focusing on data structures, trees, and graphs. Lee consolidated solutions for topics such as substrings, budgeting, car overtakes, crane-box assignment, and various tree traversals, emphasizing maintainable and reusable code. The work leveraged Python and Markdown, applying skills in algorithms, BFS, DFS, and graph theory to ensure consistent implementation patterns. Weekly integration and code reviews were documented, with no major bugs reported. This effort improved repository onboarding and accelerated problem-solving by providing a comprehensive, well-structured resource for algorithmic tasks and technical learning.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
3Total
Bugs
0
Commits
3
Features
1
Lines of code
339
Activity Months1
Your Network
1011 people
Work History
November 2024
3 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for leejihoindaeyo/Uwith_DataStructure: Delivered a substantial expansion of the algorithmic problem library spanning data structures, trees, and graphs. The feature consolidates solutions for topics including substrings, budgeting, car overtakes, crane-box assignment, tree traversals, complete binary trees, node distances, BFS/DFS, and stack usage reviews. Weekly integration across weeks 4–7 was completed, with code and review feedback documented in commits 38c867a3f08de48d51901a780322463f94592ec4; 2a07a554e657ac9424c8351ba18cf86837d2d041; 9a89924de202cf6a4d4055b9b7382f54d6745948. Major bugs fixed: no explicit critical bugs reported; focus was on feature expansion and code quality through reviews. Overall impact: improves reusability, maintainability, and acceleration of algorithmic task delivery; supports faster onboarding and consistent implementation patterns. Technologies/skills demonstrated: algorithm design, data structures, trees, graphs; BFS/DFS; tree traversals; complete binary trees; node distance calculations; emphasis on code reviews and cross-week collaboration.
3 Commits • 1 Features
Nov 1, 2024November 2024 monthly summary for leejihoindaeyo/Uwith_DataStructure: Delivered a substantial expansion of the algorithmic problem library spanning data structures, trees, and graphs. The feature consolidates solutions for topics including substrings, budgeting, car overtakes, crane-box assignment, tree traversals, complete binary trees, node distances, BFS/DFS, and stack usage reviews. Weekly integration across weeks 4–7 was completed, with code and review feedback documented in commits 38c867a3f08de48d51901a780322463f94592ec4; 2a07a554e657ac9424c8351ba18cf86837d2d041; 9a89924de202cf6a4d4055b9b7382f54d6745948. Major bugs fixed: no explicit critical bugs reported; focus was on feature expansion and code quality through reviews. Overall impact: improves reusability, maintainability, and acceleration of algorithmic task delivery; supports faster onboarding and consistent implementation patterns. Technologies/skills demonstrated: algorithm design, data structures, trees, graphs; BFS/DFS; tree traversals; complete binary trees; node distance calculations; emphasis on code reviews and cross-week collaboration.
November 2024
Activity
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Quality Metrics
Correctness80.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
AlgorithmAlgorithmsBFSBinary SearchBreadth-First Search (BFS)DFSData StructuresDepth-First Search (DFS)Graph TheoryGreedy AlgorithmHash TableQueue OperationsStack OperationsTree Traversal
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