sympy/sympy
Oct 2024 – Apr 2026
11 Months active
Languages Used
PythonMarkdownreStructuredTextTOML
Technical Skills
Algorithm ImplementationAlgorithm RefactoringCode OptimizationCode RefactoringNumber TheoryPython Development
Daiki Takahashi
PROFILE
Daiki Takahashi
Haru Tanaka developed advanced mathematical and symbolic computation features for the sympy/sympy repository, focusing on core algorithmic improvements and code maintainability. Over 11 months, Haru implemented high-order derivative support, optimized number-theoretic algorithms, and refactored key utilities to leverage Python’s standard library and SymPy APIs. Their work included enhancing factorization routines, improving test reliability, and modernizing file I/O with pathlib. Using Python, Markdown, and TOML, Haru prioritized code readability, robust testing, and documentation clarity. The depth of contributions addressed both performance and correctness, resulting in a more reliable, maintainable codebase that supports advanced analytical workflows for symbolic mathematics.
Overall Statistics
Feature vs Bugs
55%Features
Repository Contributions
78Total
Bugs
15
Commits
78
Features
18
Lines of code
2,662
Activity Months11
Your Network
153 peopleShared Repositories
153
Work History
April 2026
1 Commits • 1 Features
Apr 1, 2026April 2026: Delivered a targeted refactor of the SymPy-based LRA theory utilities to improve efficiency, readability, and maintainability. Replaced custom helpers with built-in SymPy APIs (Add.make_args and sift), aligning with best practices and laying groundwork for future performance improvements. No separate major bug fixes; changes reduce complexity and increase reliability in LRA term handling.
1 Commits • 1 Features
Apr 1, 2026April 2026: Delivered a targeted refactor of the SymPy-based LRA theory utilities to improve efficiency, readability, and maintainability. Replaced custom helpers with built-in SymPy APIs (Add.make_args and sift), aligning with best practices and laying groundwork for future performance improvements. No separate major bug fixes; changes reduce complexity and increase reliability in LRA term handling.
April 2026
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for sympy/sympy focusing on high-impact feature delivery and technical achievement. Key feature delivered: High-Order Derivative Support for Symbolic Differentiation. Implemented _eval_derivative_n_times for sin, cos, sinh, cosh, and log to enable derivatives of arbitrary order, expanding the symbolic differentiation capabilities and enabling use cases such as Taylor series expansions and differential-equation analyses. The change is documented via commit 530a49f8c73dd7bc245e15b4c583d222666d2e0c with the message: 'Implementation of `_eval_derivative_n_times` for several functions. I implemented `_eval_derivative_n_times` for `sin`, `cos`, `sinh`, `cosh`, and `log`.' No explicit bug fixes were documented in this dataset for March 2026; the primary focus was feature development and integration into the differentiation engine. Overall impact: The project now supports higher-order differentiation across a broader set of functions, enabling advanced analytical workflows (e.g., higher-order Taylor expansions, series analysis, and differential-equation solving) and expanding SymPy’s value to researchers and engineers who rely on symbolic math. This work enhances the reliability and usability of derivative evaluation, reducing manual effort for complex mathematical tasks. Technologies/skills demonstrated: Python, symbolic mathematics, API design and integration in the differentiation kernel, code maintenance, and collaboration with repository sympy/sympy.
March 2026
1 Commits • 1 Features
Mar 1, 2026March 2026 monthly summary for sympy/sympy focusing on high-impact feature delivery and technical achievement. Key feature delivered: High-Order Derivative Support for Symbolic Differentiation. Implemented _eval_derivative_n_times for sin, cos, sinh, cosh, and log to enable derivatives of arbitrary order, expanding the symbolic differentiation capabilities and enabling use cases such as Taylor series expansions and differential-equation analyses. The change is documented via commit 530a49f8c73dd7bc245e15b4c583d222666d2e0c with the message: 'Implementation of `_eval_derivative_n_times` for several functions. I implemented `_eval_derivative_n_times` for `sin`, `cos`, `sinh`, `cosh`, and `log`.' No explicit bug fixes were documented in this dataset for March 2026; the primary focus was feature development and integration into the differentiation engine. Overall impact: The project now supports higher-order differentiation across a broader set of functions, enabling advanced analytical workflows (e.g., higher-order Taylor expansions, series analysis, and differential-equation solving) and expanding SymPy’s value to researchers and engineers who rely on symbolic math. This work enhances the reliability and usability of derivative evaluation, reducing manual effort for complex mathematical tasks. Technologies/skills demonstrated: Python, symbolic mathematics, API design and integration in the differentiation kernel, code maintenance, and collaboration with repository sympy/sympy.
November 2025
7 Commits • 1 Features
Nov 1, 2025November 2025: Targeted bug fix and refactor work in the number-theory area of sympy/sympy focused on correctness, performance, and maintainability. Delivered a cache correctness fix for factorint and a suite of internal optimizations and readability improvements that reduce redundant computations and improve reliability of factoring workflows.
7 Commits • 1 Features
Nov 1, 2025November 2025: Targeted bug fix and refactor work in the number-theory area of sympy/sympy focused on correctness, performance, and maintainability. Delivered a cache correctness fix for factorint and a suite of internal optimizations and readability improvements that reduce redundant computations and improve reliability of factoring workflows.
November 2025
May 2025
6 Commits • 1 Features
May 1, 2025Concise monthly summary for 2025-05 for sympy/sympy focusing on business value and technical achievements. Key features delivered include extensive code refactoring and cleanup to improve readability and maintainability across multiple modules, reducing boilerplate and dead code, and consolidating conditional logic. Notable commits contributed to this work include 6647f6a1f4f70daf0c74d731d3968646f2a7f486 (Replacing with enumerate or for loops), 2cd92241e464a51986ab11f7e9a1df3e353bc221 (Refactor conditionals for clarity and conciseness), 68ecac0a4069aa525e04d6919e3256f2a337872d (fix the SIM101 error), 365129b526836f6f8c1c23e8ce33d96d7f49ac6b (Remove unused variable), fdf46341d3048428fbf19b17d3a8e1de278aa1e0 (Remove unnecessary variable assignments). A second major initiative fixed a bug in Float processing by correctly handling Infinity and NaN to avoid incorrect conversions (commit 719ad9b53cc326679438ca2bec4dbb087c49c070).
May 2025
6 Commits • 1 Features
May 1, 2025Concise monthly summary for 2025-05 for sympy/sympy focusing on business value and technical achievements. Key features delivered include extensive code refactoring and cleanup to improve readability and maintainability across multiple modules, reducing boilerplate and dead code, and consolidating conditional logic. Notable commits contributed to this work include 6647f6a1f4f70daf0c74d731d3968646f2a7f486 (Replacing with enumerate or for loops), 2cd92241e464a51986ab11f7e9a1df3e353bc221 (Refactor conditionals for clarity and conciseness), 68ecac0a4069aa525e04d6919e3256f2a337872d (fix the SIM101 error), 365129b526836f6f8c1c23e8ce33d96d7f49ac6b (Remove unused variable), fdf46341d3048428fbf19b17d3a8e1de278aa1e0 (Remove unnecessary variable assignments). A second major initiative fixed a bug in Float processing by correctly handling Infinity and NaN to avoid incorrect conversions (commit 719ad9b53cc326679438ca2bec4dbb087c49c070).
April 2025
21 Commits • 3 Features
Apr 1, 2025Month: 2025-04. This period focused on delivering robust numerical capabilities in sympy/sympy and strengthening code quality through linting, typing, and modernization of I/O paths. The work encompassed key feature enrichments, critical bug fixes, and infrastructure improvements that collectively increase reliability, cross-platform consistency, and maintainability, translating into reduced defect risk and faster, safer feature delivery.
21 Commits • 3 Features
Apr 1, 2025Month: 2025-04. This period focused on delivering robust numerical capabilities in sympy/sympy and strengthening code quality through linting, typing, and modernization of I/O paths. The work encompassed key feature enrichments, critical bug fixes, and infrastructure improvements that collectively increase reliability, cross-platform consistency, and maintainability, translating into reduced defect risk and faster, safer feature delivery.
April 2025
March 2025
19 Commits • 2 Features
Mar 1, 2025March 2025: Delivered meaningful business value through performance-focused refactoring of the Quadratic Sieve factorization, strengthened numerical robustness, and improved test and documentation infrastructure for SymPy. The month focused on delivering faster, more reliable factorization paths, robust numeric computations, and healthier code quality with stronger typing and test coverage.
March 2025
19 Commits • 2 Features
Mar 1, 2025March 2025: Delivered meaningful business value through performance-focused refactoring of the Quadratic Sieve factorization, strengthened numerical robustness, and improved test and documentation infrastructure for SymPy. The month focused on delivering faster, more reliable factorization paths, robust numeric computations, and healthier code quality with stronger typing and test coverage.
February 2025
10 Commits • 3 Features
Feb 1, 2025February 2025: Delivered robust ECM factorization improvements, deterministic SIQS enhancements, and targeted internal code quality work in sympy/sympy. The changes focus on business value: more reliable factoring for composite inputs, reproducible results, and a cleaner, easier-to-maintain codebase. Key outcomes include improved robustness, determinism, documentation and tests, and simplifications in internal utilities.
10 Commits • 3 Features
Feb 1, 2025February 2025: Delivered robust ECM factorization improvements, deterministic SIQS enhancements, and targeted internal code quality work in sympy/sympy. The changes focus on business value: more reliable factoring for composite inputs, reproducible results, and a cleaner, easier-to-maintain codebase. Key outcomes include improved robustness, determinism, documentation and tests, and simplifications in internal utilities.
February 2025
January 2025
1 Commits • 1 Features
Jan 1, 2025Month: 2025-01 - SymPy development: Implemented a cross-module Counter-based object counting refactor to replace manual counting loops with Python's Counter, delivering improvements in performance, readability, and maintainability. The change reduces counting errors, simplifies maintenance, and lays groundwork for scalable counting across modules. Commit: 49de64fb7067baa29a84dd6c68b2e407bb0fc11e with message 'the process for counting objects to use `collections.Counter`'.
January 2025
1 Commits • 1 Features
Jan 1, 2025Month: 2025-01 - SymPy development: Implemented a cross-module Counter-based object counting refactor to replace manual counting loops with Python's Counter, delivering improvements in performance, readability, and maintainability. The change reduces counting errors, simplifies maintenance, and lays groundwork for scalable counting across modules. Commit: 49de64fb7067baa29a84dd6c68b2e407bb0fc11e with message 'the process for counting objects to use `collections.Counter`'.
December 2024
4 Commits • 1 Features
Dec 1, 20242024-12 monthly summary for repository: sympy/sympy. Key focus areas included reliability improvements in numerical tests and documentation clarity improvements for geometry modules. Specifically, Poisson distribution test reliability was enhanced by fixing a precision issue and adding coverage for small lambda to ensure correct expectation handling, while Ellipse geometry docs were improved by standardizing math expressions with LaTeX formatting to improve readability. These efforts strengthen test robustness, code quality, and documentation maintainability, contributing to lower risk in numerical computations and easier onboarding for contributors.
4 Commits • 1 Features
Dec 1, 20242024-12 monthly summary for repository: sympy/sympy. Key focus areas included reliability improvements in numerical tests and documentation clarity improvements for geometry modules. Specifically, Poisson distribution test reliability was enhanced by fixing a precision issue and adding coverage for small lambda to ensure correct expectation handling, while Ellipse geometry docs were improved by standardizing math expressions with LaTeX formatting to improve readability. These efforts strengthen test robustness, code quality, and documentation maintainability, contributing to lower risk in numerical computations and easier onboarding for contributors.
December 2024
November 2024
5 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for sympy/sympy focused on stabilizing core math utilities and improving readability and performance. Delivered three key improvements: a robust, faster primality test, a reliability fix for perfect power handling, and a code-cleanup of fuzzy logic for readability and maintainability.
November 2024
5 Commits • 2 Features
Nov 1, 2024November 2024 monthly summary for sympy/sympy focused on stabilizing core math utilities and improving readability and performance. Delivered three key improvements: a robust, faster primality test, a reliability fix for perfect power handling, and a code-cleanup of fuzzy logic for readability and maintainability.
October 2024
3 Commits • 2 Features
Oct 1, 2024In Oct 2024, delivered two major items in sympy/sympy, strengthening math correctness, performance, and maintainability while reducing external dependencies. The work enables more reliable mathematical computations and faster evaluation of partition-related formulas, with broader test coverage.
3 Commits • 2 Features
Oct 1, 2024In Oct 2024, delivered two major items in sympy/sympy, strengthening math correctness, performance, and maintainability while reducing external dependencies. The work enables more reliable mathematical computations and faster evaluation of partition-related formulas, with broader test coverage.
October 2024
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Quality Metrics
Correctness92.2%
Maintainability92.2%
Architecture88.8%
Performance88.2%
AI Usage20.2%
Skills & Technologies
Programming Languages
MarkdownPythonTOMLreStructuredText
Technical Skills
Algorithm ImplementationAlgorithm OptimizationAlgorithm RefactoringAlgorithm RefinementBug FixBug FixingCode AnnotationCode CleanupCode ImprovementCode LintingCode OptimizationCode QualityCode ReadabilityCode RefactoringCode Reversion
Repositories Contributed To
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