dyvasugnan/PPS_CSEB_2024Batch
Dec 2024 – Jan 2025
2 Months active
Languages Used
C
Technical Skills
Basic C ProgrammingBasic C programmingString ManipulationString manipulationAlgorithm ImplementationArray Manipulation
24wh1a0591
PROFILE
24wh1a0591
Over two months, this developer contributed to the dyvasugnan/PPS_CSEB_2024Batch repository by building a suite of foundational C utilities and educational resources. They established project scaffolding with organized lab and class directories, then implemented core algorithms such as linear search, recursive factorial, palindrome checking, and matrix addition. Their technical approach emphasized clarity in input/output operations and reusable recursive functions, supporting both instructional use and onboarding. Using C and Git, they maintained a disciplined commit history and enhanced the repository with media assets for demonstrations. The work focused on feature completeness and instructional quality, with no major bugs reported during development.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
21Total
Bugs
0
Commits
21
Features
12
Lines of code
241
Activity Months2
Your Network
226 people
Work History
January 2025
11 Commits • 9 Features
Jan 1, 2025Month: 2025-01 | Project: dyvasugnan/PPS_CSEB_2024Batch. Delivered a concise suite of standalone C utilities demonstrating core algorithms and data-processing tasks, with emphasis on clarity of input/output and educational value. Key features implemented include linear search, statistics (min/max/average), recursive calculators (factorial, sum), palindrome checker, recursive gcd, 3x3 matrix addition, and a perfect-number checker. Media assets (Android screenshots) were added to support demonstrations and onboarding. No explicit bug fixes are documented for this month; the focus was on feature delivery and repository completeness. Overall, this work strengthens the demo-ready codebase and provides ready-to-share examples for learners and reviewers.
11 Commits • 9 Features
Jan 1, 2025Month: 2025-01 | Project: dyvasugnan/PPS_CSEB_2024Batch. Delivered a concise suite of standalone C utilities demonstrating core algorithms and data-processing tasks, with emphasis on clarity of input/output and educational value. Key features implemented include linear search, statistics (min/max/average), recursive calculators (factorial, sum), palindrome checker, recursive gcd, 3x3 matrix addition, and a perfect-number checker. Media assets (Android screenshots) were added to support demonstrations and onboarding. No explicit bug fixes are documented for this month; the focus was on feature delivery and repository completeness. Overall, this work strengthens the demo-ready codebase and provides ready-to-share examples for learners and reviewers.
January 2025
December 2024
10 Commits • 3 Features
Dec 1, 2024Month: 2024-12 — Focused on delivering foundational lab scaffolding, practical C utilities, and enriched lab resources for the dyvasugnan/PPS_CSEB_2024Batch repository. Key outcomes include a reproducible project setup with placeholder files for Class lab and Class repo, functional C string utilities for length calculation and first occurrence search, and a library of lab image assets plus example code to support hands-on sessions. No major bugs reported; work emphasizes performance-review-ready features, onboarding efficiency, and instructional quality. Technologies leveraged include Git version control, basic C programming, and asset management.
December 2024
10 Commits • 3 Features
Dec 1, 2024Month: 2024-12 — Focused on delivering foundational lab scaffolding, practical C utilities, and enriched lab resources for the dyvasugnan/PPS_CSEB_2024Batch repository. Key outcomes include a reproducible project setup with placeholder files for Class lab and Class repo, functional C string utilities for length calculation and first occurrence search, and a library of lab image assets plus example code to support hands-on sessions. No major bugs reported; work emphasizes performance-review-ready features, onboarding efficiency, and instructional quality. Technologies leveraged include Git version control, basic C programming, and asset management.
Activity
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Quality Metrics
Correctness87.6%
Maintainability87.6%
Architecture80.0%
Performance82.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
C
Technical Skills
Algorithm ImplementationArray ManipulationBasic C ProgrammingBasic C programmingC ProgrammingInput/Output OperationsMatrix operationsRecursionRecursive FunctionsString ManipulationString manipulation
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