DaleStudy/leetcode-study
Nov 2025 – Dec 2025
2 Months active
Languages Used
Python
Technical Skills
Code CompliancePythonPython programmingalgorithm designalgorithm developmentbacktracking
ZetBe
PROFILE
Zetbe
Contributed a comprehensive suite of algorithmic solutions and utilities to the DaleStudy/leetcode-study repository, focusing on Python-based problem solving for arrays, strings, trees, and linked lists. Developed reusable modules for dynamic programming, binary search, and depth-first search, emphasizing time and space efficiency as well as code maintainability. Implemented data structures such as Tries and optimized algorithms for tasks like merging sorted lists, validating binary search trees, and solving word search problems. Enhanced code quality through consistent formatting and POSIX compliance, supporting cross-environment reliability. The work accelerated interview preparation workflows and improved onboarding by providing modular, well-documented, and reusable solutions.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
30Total
Bugs
0
Commits
30
Features
18
Lines of code
999
Activity Months2
Your Network
292 peopleSame Organization
@hufs.ac.kr3
Work History
December 2025
14 Commits • 14 Features
Dec 1, 2025December 2025 monthly summary for DaleStudy/leetcode-study. Delivered a broad set of algorithmic solutions with a strong emphasis on time and space efficiency, maintainability, and practical interview readiness. The work enhances the repository as a comprehensive toolkit for interview prep and performance reviews, with robust data structures, optimized algorithms, and consistent code quality across solutions.
14 Commits • 14 Features
Dec 1, 2025December 2025 monthly summary for DaleStudy/leetcode-study. Delivered a broad set of algorithmic solutions with a strong emphasis on time and space efficiency, maintainability, and practical interview readiness. The work enhances the repository as a comprehensive toolkit for interview prep and performance reviews, with robust data structures, optimized algorithms, and consistent code quality across solutions.
December 2025
November 2025
16 Commits • 4 Features
Nov 1, 2025Month: 2025-11 — DaleStudy/leetcode-study monthly summary. Delivered a robust core solver suite for arrays and problems, advanced DP and string problem solvers, and BST validation, complemented by code quality and POSIX portability improvements. Business value focused on accelerating interview prep tooling, enabling reuse, and improving cross-environment reliability. Key deliverables: - Core Algorithmic Solvers for Arrays and Problems: added contains-duplicate (d232c4e8980da06644f8f32318250e02885ace02), two-sum (29ab473c16faea8e773a57e33c4adeadefdce0b4, with a fix 25e9a07097340fbc6032b02d560665c925695593), top-k-frequent-elements (d9c84e7597582a34b3d933d7fe4ba9fcaa3954ba), longest-consecutive-sequence (2e36ae90f53990e4f002af999c39637be7693c4e), 3sum (67ed968139c88f66d61558395c8cf64484154faf), product-of-array-except-self (5db9e872af788e37d14382c0c9c79c1a2b13f5b4), number-of-1-bits (9939e5c4de0a956663947cd21faa2ac4ee9903ff). - Dynamic Programming and String Problem Solvers: climbing-stairs (b8907558fd601bec8b495559591f410cb7ccde6d), decode-ways (0dff36a9f2925bcbd2777dfc86416b434ded9014), combination-sum (03ff9c5cc71b2a72c33fffdde8894f1dd2af13e4), valid-palindrome (608c4d7f11cb6441fc6c0b558c564e3557b5bcc7), valid-anagram (af4a449fa243341ac73c102691405f9157d839f4). - Binary Search Tree Validation: validate-binary-search-tree (d90267f884a830647a56b43161453d60f46f8c6c). - Code Quality and POSIX Compliance: newline handling and formatting fixes to improve portability (fix: posix 표준 준수를 위한 마지막에 개행문자 추가 — 74858ea0f9fa5366b0dd294b27e6a5ef6b6e3556; fix: posix 표준 준수를 위한 개행 — 988d22380d8abb6cda1a042d4fff6427dbd74393). Impact: Enhanced availability of ready-to-use problem-solving utilities, improved portability across Unix-like environments, and stronger code quality foundations for maintainability and future contributions.
November 2025
16 Commits • 4 Features
Nov 1, 2025Month: 2025-11 — DaleStudy/leetcode-study monthly summary. Delivered a robust core solver suite for arrays and problems, advanced DP and string problem solvers, and BST validation, complemented by code quality and POSIX portability improvements. Business value focused on accelerating interview prep tooling, enabling reuse, and improving cross-environment reliability. Key deliverables: - Core Algorithmic Solvers for Arrays and Problems: added contains-duplicate (d232c4e8980da06644f8f32318250e02885ace02), two-sum (29ab473c16faea8e773a57e33c4adeadefdce0b4, with a fix 25e9a07097340fbc6032b02d560665c925695593), top-k-frequent-elements (d9c84e7597582a34b3d933d7fe4ba9fcaa3954ba), longest-consecutive-sequence (2e36ae90f53990e4f002af999c39637be7693c4e), 3sum (67ed968139c88f66d61558395c8cf64484154faf), product-of-array-except-self (5db9e872af788e37d14382c0c9c79c1a2b13f5b4), number-of-1-bits (9939e5c4de0a956663947cd21faa2ac4ee9903ff). - Dynamic Programming and String Problem Solvers: climbing-stairs (b8907558fd601bec8b495559591f410cb7ccde6d), decode-ways (0dff36a9f2925bcbd2777dfc86416b434ded9014), combination-sum (03ff9c5cc71b2a72c33fffdde8894f1dd2af13e4), valid-palindrome (608c4d7f11cb6441fc6c0b558c564e3557b5bcc7), valid-anagram (af4a449fa243341ac73c102691405f9157d839f4). - Binary Search Tree Validation: validate-binary-search-tree (d90267f884a830647a56b43161453d60f46f8c6c). - Code Quality and POSIX Compliance: newline handling and formatting fixes to improve portability (fix: posix 표준 준수를 위한 마지막에 개행문자 추가 — 74858ea0f9fa5366b0dd294b27e6a5ef6b6e3556; fix: posix 표준 준수를 위한 개행 — 988d22380d8abb6cda1a042d4fff6427dbd74393). Impact: Enhanced availability of ready-to-use problem-solving utilities, improved portability across Unix-like environments, and stronger code quality foundations for maintainability and future contributions.
Activity
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Quality Metrics
Correctness98.8%
Maintainability88.0%
Architecture88.0%
Performance92.0%
AI Usage22.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Code ComplianceCode FormattingCode QualityPythonPython programmingalgorithm designalgorithm developmentbacktrackingbinary searchbinary treesdata structuredata structuresdepth-first searchdynamic programminglinked lists
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