spacetelescope/hst_notebooks
May 2025 – May 2025
1 Month active
Languages Used
PythonTexttext
Technical Skills
Dependency ManagementEnvironment ManagementJupyter Notebookdependency management
Brendan Gannon
PROFILE
Brendan Gannon
Worked on stabilizing and upgrading the WFC3 PSF notebook environment within the spacetelescope/hst_notebooks repository, focusing on improving compatibility and reproducibility. Addressed environment management by consolidating dependency updates, unpinning select packages to support newer versions, and updating numpy and scipy requirements for enhanced stability. Implemented explicit version pinning and restrictions to ensure reproducible results across different setups, while updating Python version metadata to match the intended runtime. All changes were tracked through multiple commits to both requirements and Jupyter Notebook files, demonstrating a methodical approach to dependency management using Python and environment configuration best practices.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
1
Lines of code
42
Activity Months1
Work History
May 2025
6 Commits • 1 Features
May 1, 2025Month 2025-05 focused on stabilizing and upgrading the WFC3 PSF notebook environment in spacetelescope/hst_notebooks. Delivered a consolidated set of environment updates to improve compatibility and stability, aligning dependencies with the intended runtime. Key changes include unpinning select packages to allow newer versions, updating numpy and scipy requirements, and implementing reproducibility controls by pinning/restricting specific package versions. Updated Python version metadata to reflect the target runtime. All changes were tracked through multiple commits in dependency and notebook files to ensure traceability and rollback readiness.
6 Commits • 1 Features
May 1, 2025Month 2025-05 focused on stabilizing and upgrading the WFC3 PSF notebook environment in spacetelescope/hst_notebooks. Delivered a consolidated set of environment updates to improve compatibility and stability, aligning dependencies with the intended runtime. Key changes include unpinning select packages to allow newer versions, updating numpy and scipy requirements, and implementing reproducibility controls by pinning/restricting specific package versions. Updated Python version metadata to reflect the target runtime. All changes were tracked through multiple commits in dependency and notebook files to ensure traceability and rollback readiness.
May 2025
Activity
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Quality Metrics
Correctness83.4%
Maintainability93.4%
Architecture76.6%
Performance73.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonTexttext
Technical Skills
Dependency ManagementEnvironment ManagementJupyter Notebookdependency management
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