sympy/sympy
May 2026 – Jun 2026
2 Months active
Languages Used
Plain TextPython
Technical Skills
CollaborationPythonPython programmingVersion Controlalgorithm designdebugging
Joseph Mehdiyev
PROFILE
Joseph Mehdiyev
Contributed to the sympy/sympy repository by enhancing symbolic computation reliability and numerical stability over a two-month period. Addressed core mathematical logic by fixing modulo operation overflow and ensuring correctness in nested modulo expressions, using Python and SymPy for robust algorithm design and regression testing. Improved elliptic curve arithmetic by resolving point-at-infinity handling, reinforcing correctness in symbolic-numeric workflows. Expanded test coverage and refactored Bessel function handling and the assumptions framework to prevent improper float conversions and support recursive checks. Maintained repository hygiene through author attribution updates, demonstrating a collaborative approach focused on maintainability, code quality, and mathematical accuracy in backend development.
Overall Statistics
Feature vs Bugs
50%Features
Repository Contributions
13Total
Bugs
2
Commits
13
Features
2
Lines of code
71
Activity Months2
Your Network
158 peopleShared Repositories
158
Work History
June 2026
10 Commits • 1 Features
Jun 1, 2026June 2026 (sympy/sympy) focused on strengthening numeric stability and elliptic-curve correctness, with solid regression coverage. Key outcomes: - Key features delivered: Symbolic Computation Core Robustness and Precision Improvements — consolidated enhancements to Bessel function handling (sorting and simplification) and the assumptions framework; added regression tests to improve numerical robustness, avoid improper float conversions, ensure non-zero factors are respected, and support recursive assumption checks. - Major bugs fixed: Elliptic Curve Addition Correctness — fixed the case of adding a point to its inverse on elliptic curves with correct handling of the point at infinity; regression tests added to validate robustness. - Overall impact and accomplishments: Strengthened core numeric stability and correctness, reducing risk of incorrect numerical results in symbolic-numeric workflows; expanded test coverage improves maintainability and confidence for downstream users. - Technologies/skills demonstrated: Python, symbolic computation, numerical robustness strategies, regression testing, test-driven development, and code quality improvements for stability and maintainability. Repository: sympy/sympy Month: 2026-06
10 Commits • 1 Features
Jun 1, 2026June 2026 (sympy/sympy) focused on strengthening numeric stability and elliptic-curve correctness, with solid regression coverage. Key outcomes: - Key features delivered: Symbolic Computation Core Robustness and Precision Improvements — consolidated enhancements to Bessel function handling (sorting and simplification) and the assumptions framework; added regression tests to improve numerical robustness, avoid improper float conversions, ensure non-zero factors are respected, and support recursive assumption checks. - Major bugs fixed: Elliptic Curve Addition Correctness — fixed the case of adding a point to its inverse on elliptic curves with correct handling of the point at infinity; regression tests added to validate robustness. - Overall impact and accomplishments: Strengthened core numeric stability and correctness, reducing risk of incorrect numerical results in symbolic-numeric workflows; expanded test coverage improves maintainability and confidence for downstream users. - Technologies/skills demonstrated: Python, symbolic computation, numerical robustness strategies, regression testing, test-driven development, and code quality improvements for stability and maintainability. Repository: sympy/sympy Month: 2026-06
June 2026
May 2026
3 Commits • 1 Features
May 1, 2026May 2026 highlights for sympy/sympy: Delivered a critical modulo operation bug fix with overflow protection and added regression tests; updated mailmap for author attribution to improve history accuracy. Achievements include tightening modulo arithmetic correctness, expanding test coverage for nested modulo expressions to prevent regressions (issue 29757), and improving repository hygiene through author attribution consolidation. This work strengthens reliability for users relying on symbolic modulo calculations while clarifying contributor credits.
May 2026
3 Commits • 1 Features
May 1, 2026May 2026 highlights for sympy/sympy: Delivered a critical modulo operation bug fix with overflow protection and added regression tests; updated mailmap for author attribution to improve history accuracy. Achievements include tightening modulo arithmetic correctness, expanding test coverage for nested modulo expressions to prevent regressions (issue 29757), and improving repository hygiene through author attribution consolidation. This work strengthens reliability for users relying on symbolic modulo calculations while clarifying contributor credits.
Activity
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Quality Metrics
Correctness95.4%
Maintainability90.8%
Architecture87.6%
Performance90.8%
AI Usage35.4%
Skills & Technologies
Programming Languages
Plain TextPython
Technical Skills
CollaborationLogicLogic ProgrammingPythonPython programmingRefactoringSymPySymbolic MathematicsUnit TestingVersion Controlalgorithm designalgorithm optimizationbackend developmentdebuggingmathematics
Repositories Contributed To
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