
During March 2025, Kseniya Siruno focused on repository hygiene in lsst-sitcom/notebooks_vandv by removing four obsolete SITCOMTN-092 Jupyter notebooks. This work targeted the reduction of maintenance overhead and clarified the analysis lifecycle for data analysts. Kseniya applied code refactoring and version control skills, using Python and Jupyter Notebooks to ensure that only current, relevant artifacts remained in the repository. The cleanup streamlined onboarding for new contributors and improved the reliability of notebook-driven data analysis workflows. By aligning repository contents with completed or refactored analyses, Kseniya enhanced project clarity and reduced confusion for future development and analytical work.
March 2025 monthly summary for lsst-sitcom/notebooks_vandv. Focused on cleaning up obsolete SITCOMTN-092 notebooks to reduce maintenance burden and clarify the analysis lifecycle. Delivered removal of four SITCOMTN-092 notebooks, reflecting completion/refactor of related analyses and aligning artifacts with current workflows. No major bug fixes were recorded this month. The cleanup enhances project clarity, reduces confusion for analysts, and streamlines notebook-driven data analysis workflows. Demonstrated technologies/skills include Python/Jupyter notebook hygiene, Git-based version control, and repository hygiene practices that support faster onboarding and more reliable analyses.
March 2025 monthly summary for lsst-sitcom/notebooks_vandv. Focused on cleaning up obsolete SITCOMTN-092 notebooks to reduce maintenance burden and clarify the analysis lifecycle. Delivered removal of four SITCOMTN-092 notebooks, reflecting completion/refactor of related analyses and aligning artifacts with current workflows. No major bug fixes were recorded this month. The cleanup enhances project clarity, reduces confusion for analysts, and streamlines notebook-driven data analysis workflows. Demonstrated technologies/skills include Python/Jupyter notebook hygiene, Git-based version control, and repository hygiene practices that support faster onboarding and more reliable analyses.

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