impresso/impresso-datalab-notebooks
Sep 2025 – Sep 2025
1 Month active
Languages Used
HTMLJavaScriptJupyter NotebookMarkdownPython
Technical Skills
Data AnalysisData VisualizationDocumentationGoogle ColabJupyter NotebookJupyter Notebooks
Cao Vy
PROFILE
Cao Vy
During September 2025, Cao Vy enhanced the impresso-datalab-notebooks repository by improving the user experience and publication readiness of Jupyter Notebooks for reproducible research. She focused on refining the inspecting_my_collection notebook, updating data loading logic to support a new data source, and enhancing data visualization with Pandas and Plotly. Her work included improving readability, user guidance, and plot aesthetics, as well as adjusting execution contexts for smoother data exploration. Additionally, she finalized Zenodo-ready metadata and clarified documentation, ensuring accurate author credits and model references. The work demonstrated thoughtful application of Python and technical writing to support transparent, user-focused research workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
5Total
Bugs
0
Commits
5
Features
2
Lines of code
34,344
Activity Months1
Your Network
11 people
Work History
September 2025
5 Commits • 2 Features
Sep 1, 2025September 2025 monthly work summary for impresso-datalab-notebooks: Delivered user-focused notebook enhancements and publication-readiness groundwork to drive reproducible research and smoother data exploration. The focus was on improving the inspecting_my_collection notebook UX, software to load a new data source, and preparing Zenodo-ready metadata with clear problem reporting and model references.
5 Commits • 2 Features
Sep 1, 2025September 2025 monthly work summary for impresso-datalab-notebooks: Delivered user-focused notebook enhancements and publication-readiness groundwork to drive reproducible research and smoother data exploration. The focus was on improving the inspecting_my_collection notebook UX, software to load a new data source, and preparing Zenodo-ready metadata with clear problem reporting and model references.
September 2025
Activity
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Quality Metrics
Correctness80.0%
Maintainability84.0%
Architecture80.0%
Performance84.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
HTMLJavaScriptJupyter NotebookMarkdownPython
Technical Skills
Data AnalysisData VisualizationDocumentationGoogle ColabJupyter NotebookJupyter NotebooksPandasPlotlyPythonTechnical Writing
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