lsst/tutorial-notebooks
Sep 2025 – Jul 2026
3 Months active
Languages Used
JSONJupyter NotebookPython
Technical Skills
AstronomyAstropyData AccessData AnalysisDocumentationDocumentation Management
gloriafa
PROFILE
Gloriafa
Over a three-month period, contributed to the lsst/tutorial-notebooks repository by developing and refining Jupyter Notebook tutorials focused on astronomical data analysis and access. Delivered features such as a TAP/Gaia cross-match tutorial, Rubin Schedule Viewer enhancements, and clarified alert retrieval workflows, emphasizing reproducibility and user onboarding. Applied Python scripting, Astropy, and PyVO to integrate APIs, manage metadata, and improve data visualization. Prioritized code quality through pre-commit checks, robust error handling, and clear documentation updates. The work improved the reliability and clarity of scientific workflows, supporting both new and experienced users in accessing and analyzing complex astronomical datasets within Jupyter environments.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
9Total
Bugs
0
Commits
9
Features
3
Lines of code
982
Activity Months3
Your Network
21 peopleWork History
July 2026
1 Commits • 1 Features
Jul 1, 2026Concise monthly summary for 2026-07 focusing on business value and technical achievements for lsst/tutorial-notebooks. Highlights feature delivery, impact, and skills demonstrated.
1 Commits • 1 Features
Jul 1, 2026Concise monthly summary for 2026-07 focusing on business value and technical achievements for lsst/tutorial-notebooks. Highlights feature delivery, impact, and skills demonstrated.
July 2026
June 2026
2 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for lsst/tutorial-notebooks: Key feature delivered includes Rubin Schedule Viewer improvements with retrieval of planned observation schedules and integration of the latest verification date. In addition, robustness was enhanced by adding checks for empty data and a conditional printing path to prevent runtime errors when no visits are retrieved. The work reduces risk in schedule analysis workflows and improves user confidence in the viewer’s outputs.
June 2026
2 Commits • 1 Features
Jun 1, 2026June 2026 monthly summary for lsst/tutorial-notebooks: Key feature delivered includes Rubin Schedule Viewer improvements with retrieval of planned observation schedules and integration of the latest verification date. In addition, robustness was enhanced by adding checks for empty data and a conditional printing path to prevent runtime errors when no visits are retrieved. The work reduces risk in schedule analysis workflows and improves user confidence in the viewer’s outputs.
September 2025
6 Commits • 1 Features
Sep 1, 2025September 2025 Monthly Summary – lsst/tutorial-notebooks This period focused on delivering a refined cross-match tutorial experience by integrating a TAP/Gaia cross-match notebook, tightening user-facing content, and reinforcing notebook quality through metadata cleanup and pre-commit hygiene. The work improves onboarding for new users and supports more accurate, reproducible tutorials for Gaia data cross-matching.
6 Commits • 1 Features
Sep 1, 2025September 2025 Monthly Summary – lsst/tutorial-notebooks This period focused on delivering a refined cross-match tutorial experience by integrating a TAP/Gaia cross-match notebook, tightening user-facing content, and reinforcing notebook quality through metadata cleanup and pre-commit hygiene. The work improves onboarding for new users and supports more accurate, reproducible tutorials for Gaia data cross-matching.
September 2025
Activity
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Quality Metrics
Correctness91.2%
Maintainability91.2%
Architecture88.8%
Performance88.8%
AI Usage24.4%
Skills & Technologies
Programming Languages
JSONJupyter NotebookPython
Technical Skills
API integrationAstronomyAstropyData AccessData AnalysisDocumentationDocumentation ManagementJupyter NotebookJupyter NotebooksMetadata ManagementPyVOPython scriptingTAP Servicedata analysisdata visualization
Repositories Contributed To
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