leejihoindaeyo/Uwith_DataStructure
Nov 2024 – Dec 2024
2 Months active
Languages Used
PythonMarkdown
Technical Skills
AlgorithmAlgorithmsBreadth-First Search (BFS)Data StructuresDepth-First Search (DFS)Graph Traversal
shyun7
PROFILE
Shyun7
Developed a comprehensive algorithmic data structure and graph traversal library in the leejihoindaeyo/Uwith_DataStructure repository over two months, focusing on reusable solutions for substring generation, tree traversal, and graph analytics. Leveraged Python and Markdown to implement features such as unique substring detection, connected components, parent-child relationships, and both DFS and BFS traversals. Added utilities for Dijkstra’s algorithm and a modified heap sort to support shortest path calculations and Kth smallest element queries. Enhanced maintainability through thorough documentation and code review, optimizing for memory usage and readability while aligning the codebase with scalable analytics and interview preparation needs.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
3
Lines of code
446
Activity Months2
Your Network
1141 peopleWork History
December 2024
2 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for leejihoindaeyo/Uwith_DataStructure: Focused on delivering core graph analytics capabilities and improving maintainability through documentation and code reviews. Implemented user-facing graph utilities: Dijkstra's algorithm for shortest paths in weighted graphs and a modified heap sort to identify the Kth smallest element. Accompanying documentation and best-practices notes were added to optimize memory usage, performance, and readability. All work aligns with downstream analytics needs and scalable graph processing.
2 Commits • 1 Features
Dec 1, 2024December 2024 monthly summary for leejihoindaeyo/Uwith_DataStructure: Focused on delivering core graph analytics capabilities and improving maintainability through documentation and code reviews. Implemented user-facing graph utilities: Dijkstra's algorithm for shortest paths in weighted graphs and a modified heap sort to identify the Kth smallest element. Accompanying documentation and best-practices notes were added to optimize memory usage, performance, and readability. All work aligns with downstream analytics needs and scalable graph processing.
December 2024
November 2024
3 Commits • 2 Features
Nov 1, 2024Delivered a cohesive algorithmic DS/graphs and tree traversal library in leejihoindaeyo/Uwith_DataStructure during 2024-11, focusing on substring generation, graph traversal, and tree-related problems. Implementations include unique substrings, connected components, parent-child relationships, DFS/BFS traversals, leaf detection, weighted distances in trees, and preorder/inorder/postorder traversals. These contributions provide a reusable foundation for feature development and interview-prep tooling, improve maintainability, and support cross-team collaboration.
November 2024
3 Commits • 2 Features
Nov 1, 2024Delivered a cohesive algorithmic DS/graphs and tree traversal library in leejihoindaeyo/Uwith_DataStructure during 2024-11, focusing on substring generation, graph traversal, and tree-related problems. Implementations include unique substrings, connected components, parent-child relationships, DFS/BFS traversals, leaf detection, weighted distances in trees, and preorder/inorder/postorder traversals. These contributions provide a reusable foundation for feature development and interview-prep tooling, improve maintainability, and support cross-team collaboration.
Activity
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Quality Metrics
Correctness84.0%
Maintainability80.0%
Architecture80.0%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
MarkdownPython
Technical Skills
AlgorithmAlgorithmsBreadth-First Search (BFS)Code ReviewData StructuresDepth-First Search (DFS)Dijkstra's AlgorithmGraph TheoryGraph TraversalHeap SortProblem SolvingSorting AlgorithmsTree Traversal
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