QMCSoftware/QMCSoftware
Dec 2025 – Jan 2026
2 Months active
Languages Used
PythonYAML
Technical Skills
Jupyter NotebooksPythonPython programmingdata analysisrepository managementstatistical modeling
Laasya-73
PROFILE
Laasya-73
Overall Statistics
Feature vs Bugs
83%Features
Repository Contributions
11Total
Bugs
1
Commits
11
Features
5
Lines of code
2,941
Activity Months2
Work History
January 2026
8 Commits • 3 Features
Jan 1, 2026January 2026 monthly performance summary for QMCSoftware/QMCSoftware, focusing on delivering advanced joint true measures, improving demos/docs, and strengthening repository hygiene to boost modeling accuracy, usability, and maintainability.
8 Commits • 3 Features
Jan 1, 2026January 2026 monthly performance summary for QMCSoftware/QMCSoftware, focusing on delivering advanced joint true measures, improving demos/docs, and strengthening repository hygiene to boost modeling accuracy, usability, and maintainability.
January 2026
December 2025
3 Commits • 2 Features
Dec 1, 2025December 2025: Delivered two critical enhancements for SciPyWrapper in QMCSoftware/QMCSoftware, focused on expanding statistical modeling capabilities and improving repository hygiene. Implemented support for multivariate Student t distributions with updated documentation and a strengthened demo example; plus cleanup to the SciPyWrapper demos by stopping tracking generated PNG figures and updating the .gitignore to prevent unnecessary files from being committed. No user-facing bugs were reported; maintenance work reduced repo noise and improved reproducibility and onboarding.
December 2025
3 Commits • 2 Features
Dec 1, 2025December 2025: Delivered two critical enhancements for SciPyWrapper in QMCSoftware/QMCSoftware, focused on expanding statistical modeling capabilities and improving repository hygiene. Implemented support for multivariate Student t distributions with updated documentation and a strengthened demo example; plus cleanup to the SciPyWrapper demos by stopping tracking generated PNG figures and updating the .gitignore to prevent unnecessary files from being committed. No user-facing bugs were reported; maintenance work reduced repo noise and improved reproducibility and onboarding.
Activity
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Quality Metrics
Correctness94.6%
Maintainability91.0%
Architecture94.6%
Performance87.2%
AI Usage25.4%
Skills & Technologies
Programming Languages
PythonYAML
Technical Skills
DocumentationJupyter NotebookJupyter NotebooksPythonPython programmingSoftware testingdata analysisdocumentationgitproject managementrepository managementscientific computingsoftware organizationstatistical modelingunit testing
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