TeogopK/Data_Structures_and_Algorithms_FMI
Dec 2025 – Dec 2025
1 Month active
Languages Used
Python
Technical Skills
Python programmingalgorithm designdynamic programmingproblem solving
asen-krasimirov
PROFILE
Asen-krasimirov
During December 2025, the developer contributed to the TeogopK/Data_Structures_and_Algorithms_FMI repository by designing and implementing a set of dynamic programming practice problems in Python. Focusing on algorithm design and problem solving, they created exercises such as Fibonacci sequence computation, longest palindromic subsequence, and minimum path sum in a grid, organizing these as Week_09 practicum materials. The developer improved code readability by removing unnecessary comments and ensured the problems were clearly structured for educational use. Their work deepened the repository’s learning value, providing users with targeted dynamic programming challenges and reinforcing core Python programming and algorithmic skills.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
1
Lines of code
95
Activity Months1
Your Network
14 peopleWork History
December 2025
2 Commits • 1 Features
Dec 1, 2025December 2025: Delivered Dynamic Programming Practice Problems in Python for TeogopK/Data_Structures_and_Algorithms_FMI, adding DP-focused exercises (Fibonacci numbers, longest palindromic subsequence, and minimum path sum in a grid) and additional challenges to strengthen learners' algorithmic skills. The changes were organized as Week_09 practicum materials, with commits including adding Week_09 Python problems and removing unnecessary comments to improve readability. This work enhances the repository's educational value and user engagement by providing structured DP practice and clearer problem statements.
2 Commits • 1 Features
Dec 1, 2025December 2025: Delivered Dynamic Programming Practice Problems in Python for TeogopK/Data_Structures_and_Algorithms_FMI, adding DP-focused exercises (Fibonacci numbers, longest palindromic subsequence, and minimum path sum in a grid) and additional challenges to strengthen learners' algorithmic skills. The changes were organized as Week_09 practicum materials, with commits including adding Week_09 Python problems and removing unnecessary comments to improve readability. This work enhances the repository's educational value and user engagement by providing structured DP practice and clearer problem statements.
December 2025
Activity
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Quality Metrics
Correctness100.0%
Maintainability100.0%
Architecture100.0%
Performance100.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
Python programmingalgorithm designdynamic programmingproblem solving
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