lsst/tutorial-notebooks
Jun 2026 – Jul 2026
2 Months active
Languages Used
Python
Technical Skills
JupyterJupyter NotebooksPythonPython scriptingastronomydata analysis
garrethmartin
PROFILE
Garrethmartin
Worked on the lsst/tutorial-notebooks repository to enhance low surface brightness (LSB) analysis tools for astronomy research. Developed new Jupyter Notebooks in Python for image display and detection of faint features, introducing robust error handling that replaces exceptions with user-friendly guidance and guards for edge cases. Improved visualization and documentation, ensuring that undefined quantities are handled gracefully and that educational resources are accessible to both researchers and students. Focused on code clarity by updating inline comments and aligning documentation with the latest codebase, which improved reproducibility, maintainability, and onboarding for users working with scientific computing and data analysis workflows.
Overall Statistics
Feature vs Bugs
67%Features
Repository Contributions
9Total
Bugs
1
Commits
9
Features
2
Lines of code
3,018
Activity Months2
Your Network
32 peopleSame Organization
@nottingham.ac.uk11
Chi ChengMember
Kai XuMember
vrossumMember
mmctMember
Stefania DamatoMember
abhaynambiarMember
ManasMember
Sam CoxMember
NingboMember
Work History
July 2026
1 Commits • 1 Features
Jul 1, 2026July 2026: Focused on documentation quality and code clarity for Low Surface Brightness visualization tutorials in lsst/tutorial-notebooks. No major bugs fixed this month. Delivered updated documentation and inline comments to improve clarity of functions and parameters for astronomical data analysis. Final notebook comments addressed in commit 5ed6f68068131ef82336488a483c4234069506f7, aligning docs with current code and enhancing reproducibility.
1 Commits • 1 Features
Jul 1, 2026July 2026: Focused on documentation quality and code clarity for Low Surface Brightness visualization tutorials in lsst/tutorial-notebooks. No major bugs fixed this month. Delivered updated documentation and inline comments to improve clarity of functions and parameters for astronomical data analysis. Final notebook comments addressed in commit 5ed6f68068131ef82336488a483c4234069506f7, aligning docs with current code and enhancing reproducibility.
July 2026
June 2026
8 Commits • 1 Features
Jun 1, 2026June 2026: Delivered an upgrade to the LSST tutorial notebooks focused on low surface brightness (LSB) analysis. Key additions include a new image-display notebook for faint features (notebook 301) and the introduction of notebooks 312.2 and 312.3, with ongoing updates to 312.1 for improved visualization and documentation. Implemented robust error handling in tidal features analysis, replacing exceptions with user-friendly guidance and guards to handle edge cases (e.g., too few valid pixels) and defining quantities as None when undefined. These changes enhance reliability, educational value, and ease of use for researchers and students, while reducing support overhead. All work tracked under SP-2645 and aligned with ongoing notebook consolidation and documentation improvements.
June 2026
8 Commits • 1 Features
Jun 1, 2026June 2026: Delivered an upgrade to the LSST tutorial notebooks focused on low surface brightness (LSB) analysis. Key additions include a new image-display notebook for faint features (notebook 301) and the introduction of notebooks 312.2 and 312.3, with ongoing updates to 312.1 for improved visualization and documentation. Implemented robust error handling in tidal features analysis, replacing exceptions with user-friendly guidance and guards to handle edge cases (e.g., too few valid pixels) and defining quantities as None when undefined. These changes enhance reliability, educational value, and ease of use for researchers and students, while reducing support overhead. All work tracked under SP-2645 and aligned with ongoing notebook consolidation and documentation improvements.
Activity
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Quality Metrics
Correctness93.2%
Maintainability89.0%
Architecture89.0%
Performance89.0%
AI Usage24.4%
Skills & Technologies
Programming Languages
Python
Technical Skills
JupyterJupyter NotebooksPythonPython scriptingastronomydata analysisdata visualizationerror handlingimage processingscientific computing
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