DaleStudy/leetcode-study
Nov 2025 – Nov 2025
1 Month active
Languages Used
Python
Technical Skills
PythonPython programmingalgorithm developmentdata structuresproblem solving
Junhyeong Park
PROFILE
Junhyeong Park
Developed three core features for the DaleStudy/leetcode-study repository, focusing on practical tools for learners preparing for technical interviews. Built in Python, the solutions addressed common algorithmic challenges such as detecting duplicate elements in collections, efficiently solving the Two Sum problem, and retrieving the top-k frequent elements using hash maps and bucket sorting. Each feature emphasized correctness, performance, and clarity, with a clear commit history supporting maintainability. No major bugs were reported during the development period, reflecting a stable and thoughtful approach. The work demonstrated strong skills in Python programming, data structures, and algorithm development, enhancing study efficiency for users.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
3
Lines of code
30
Activity Months1
Your Network
300 peopleWork History
November 2025
4 Commits • 3 Features
Nov 1, 2025Month: 2025-11 — DaleStudy/leetcode-study. Delivered three core features with a focus on correctness, performance, and practical value for learners evaluating solutions. Strengthened problem-solving tooling by implementing common interview patterns with efficient approaches and clear commit history. No major bugs reported; stability improvements aligned with feature development.
4 Commits • 3 Features
Nov 1, 2025Month: 2025-11 — DaleStudy/leetcode-study. Delivered three core features with a focus on correctness, performance, and practical value for learners evaluating solutions. Strengthened problem-solving tooling by implementing common interview patterns with efficient approaches and clear commit history. No major bugs reported; stability improvements aligned with feature development.
November 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability95.0%
Architecture95.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
PythonPython programmingalgorithm developmentdata structuresproblem solving
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