sympy/sympy
Mar 2026 – Mar 2026
1 Month active
Languages Used
Python
Technical Skills
algorithm developmentmathematicspolynomial algebrasymbolic computationtestingunit testing
Zihao Qi
PROFILE
Zihao Qi
Zihao Qi contributed targeted maintenance to the sympy/sympy repository, focusing on polynomial algebra workflows. He addressed a bug in Groebner basis initialization by implementing logic to skip zero generators during sdm_groebner setup, which reduced unnecessary computation and resolved edge-case issues in ideal containment. Using Python and leveraging skills in symbolic computation and algorithm development, Zihao updated regression and unit tests to validate the new behavior and ensure correctness for ideals containing zero generators. His work improved runtime efficiency and maintainability, demonstrating a thoughtful approach to code quality and test-driven development within the context of mathematical software engineering.
Overall Statistics
Feature vs Bugs
0%Features
Repository Contributions
2Total
Bugs
1
Commits
2
Features
0
Lines of code
25
Activity Months1
Your Network
163 peopleSame Organization
@iastate.edu10
Shared Repositories
153
Work History
March 2026
2 Commits
Mar 1, 2026March 2026 monthly summary for sympy/sympy. Focused maintenance on polynomial algebra workflows. Delivered a targeted bug fix to zero-generator handling in ideal containment and Groebner basis initialization: skip zero generators during sdm_groebner initialization, reducing unnecessary computation and avoiding edge-case issues; containment properties of ideals with zero generators are now correctly validated; tests updated to reflect the behavior. Key commits include 948f0c9b2fda610f44615f7409283e09134d8736 and a63deaa31d1f073385ec0784e0a26c87af433130. Impact: improved runtime efficiency of Groebner basis initialization, strengthened correctness for zero-generator scenarios, and expanded regression coverage. Technologies/skills demonstrated: Python, SymPy polynomial algebra, Groebner basis computations, containment verification, test-driven development, regression testing, and code maintenance.
2 Commits
Mar 1, 2026March 2026 monthly summary for sympy/sympy. Focused maintenance on polynomial algebra workflows. Delivered a targeted bug fix to zero-generator handling in ideal containment and Groebner basis initialization: skip zero generators during sdm_groebner initialization, reducing unnecessary computation and avoiding edge-case issues; containment properties of ideals with zero generators are now correctly validated; tests updated to reflect the behavior. Key commits include 948f0c9b2fda610f44615f7409283e09134d8736 and a63deaa31d1f073385ec0784e0a26c87af433130. Impact: improved runtime efficiency of Groebner basis initialization, strengthened correctness for zero-generator scenarios, and expanded regression coverage. Technologies/skills demonstrated: Python, SymPy polynomial algebra, Groebner basis computations, containment verification, test-driven development, regression testing, and code maintenance.
March 2026
Activity
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Quality Metrics
Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance90.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Python
Technical Skills
algorithm developmentmathematicspolynomial algebrasymbolic computationtestingunit testing
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