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 repository scaffolding with organized placeholder files and added practical C programs for string manipulation, array processing, and matrix operations. Their work included implementing recursive algorithms for factorial, sum, and GCD calculations, as well as utilities for linear search, palindrome checking, and perfect number detection. Using C and Git, they emphasized clear input/output handling and reusable code patterns. The developer’s disciplined approach resulted in a demo-ready, well-documented codebase supporting both instructional use and onboarding efficiency.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
21Total
Bugs
0
Commits
21
Features
12
Lines of code
241
Activity Months2
Your Network
229 peopleWork 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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