lsst-sitcom/notebooks_vandv
May 2025 – May 2025
1 Month active
Languages Used
Jupyter NotebookPython
Technical Skills
AstropyAutomated Code AnalysisCode FormattingData AnalysisData VisualizationJupyter Notebook
Dominique Boutigny
PROFILE
Dominique Boutigny
During May 2025, Jean-François Boutigny developed a vibration analysis notebook for the lsst-sitcom/notebooks_vandv repository, enabling retrieval and processing of M1M3 VMS data to establish a vibration baseline and assess the impact of FCU speed and elevation. He applied Python, Pandas, and Matplotlib to analyze power spectral density and visualize spectrograms and displacement metrics, supporting data-driven performance monitoring. Jean-François also improved code quality and maintainability by automating style corrections and refactoring imports using Ruff, enhancing readability and documentation. His work provided a reproducible framework for future analyses, facilitating onboarding and supporting ongoing maintenance planning for the project.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
2Total
Bugs
0
Commits
2
Features
2
Lines of code
1,055
Activity Months1
Your Network
18 people
Work History
May 2025
2 Commits • 2 Features
May 1, 20252025-05 monthly summary focusing on business value and technical achievements. Key accomplishments include the delivery of a M1M3 VMS Vibration Analysis Notebook to establish a vibration baseline and assess FCU speed/elevation impacts, plus code quality improvements via Ruff that enhance maintainability without changing functionality. No major bugs reported this period; quality work completed to enable faster data-driven decisions and future analyses.
2 Commits • 2 Features
May 1, 20252025-05 monthly summary focusing on business value and technical achievements. Key accomplishments include the delivery of a M1M3 VMS Vibration Analysis Notebook to establish a vibration baseline and assess FCU speed/elevation impacts, plus code quality improvements via Ruff that enhance maintainability without changing functionality. No major bugs reported this period; quality work completed to enable faster data-driven decisions and future analyses.
May 2025
Activity
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Quality Metrics
Correctness95.0%
Maintainability90.0%
Architecture90.0%
Performance85.0%
AI Usage60.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPython
Technical Skills
AstropyAutomated Code AnalysisCode FormattingData AnalysisData VisualizationJupyter NotebookLSST EFD ClientMatplotlibPandasPythonSciPySignal ProcessingTime Series Analysis
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