leejihoindaeyo/Uwith_DataStructure
Nov 2024 – Nov 2024
1 Month active
Languages Used
C++PythonText
Technical Skills
AlgorithmAlgorithmsBinary SearchData StructuresDepth First SearchFile Management
juhwon
PROFILE
Juhwon
During November 2024, leejihoindaeyo expanded the Uwith_DataStructure repository by developing a cross-language data structures and algorithms library in C++ and Python. The work focused on implementing a suite of algorithms, including counting element occurrences, capacity-based task assignment, unique substring detection, inversions, and resource optimization, as well as utilities for tree and graph traversal. By establishing cross-language API wrappers, leejihoindaeyo improved accessibility and reusability for both C++ and Python users. The engineering approach emphasized modularity and problem-solving, resulting in a richer toolkit that accelerates prototyping and broadens applicability for algorithmic workloads, though no major bugs were documented during this period.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
1
Lines of code
384
Activity Months1
Your Network
1011 people
Work History
November 2024
5 Commits • 1 Features
Nov 1, 2024November 2024 highlights for leejihoindaeyo/Uwith_DataStructure: Key feature delivery centered on expanding the Data Structures and Algorithms Library in C++ and Python, adding multiple algorithms to strengthen the problem-solving toolkit (counting element occurrences, capacity-based task assignment, unique substrings, inversions, resource optimization, and tree/graph traversal utilities). Achievements include 5 commits across juhwon.m, juhwon.n, and juhwon.c to implement and refine the cross-language feature set, improving consistency and usability. Bugs fixed: no major bugs documented for this period in the provided data. Impact: a richer, reusable toolkit that accelerates prototyping, broadens language adoption, and enhances engineering velocity for algorithmic workloads. Technologies/skills demonstrated: C++, Python, cross-language bindings, algorithm design, and data structures.
5 Commits • 1 Features
Nov 1, 2024November 2024 highlights for leejihoindaeyo/Uwith_DataStructure: Key feature delivery centered on expanding the Data Structures and Algorithms Library in C++ and Python, adding multiple algorithms to strengthen the problem-solving toolkit (counting element occurrences, capacity-based task assignment, unique substrings, inversions, resource optimization, and tree/graph traversal utilities). Achievements include 5 commits across juhwon.m, juhwon.n, and juhwon.c to implement and refine the cross-language feature set, improving consistency and usability. Bugs fixed: no major bugs documented for this period in the provided data. Impact: a richer, reusable toolkit that accelerates prototyping, broadens language adoption, and enhances engineering velocity for algorithmic workloads. Technologies/skills demonstrated: C++, Python, cross-language bindings, algorithm design, and data structures.
November 2024
Activity
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Quality Metrics
Correctness68.0%
Maintainability68.0%
Architecture60.0%
Performance60.0%
AI Usage24.0%
Skills & Technologies
Programming Languages
C++PythonText
Technical Skills
AlgorithmAlgorithmsBinary SearchData StructuresDepth First SearchFile ManagementGraph TraversalGreedy AlgorithmGreedy AlgorithmsMapProblem SolvingPythonSearchingSortingTree Traversal
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