astro-datalab/notebooks-latest
Jan 2025 – Oct 2025
3 Months active
Languages Used
Jupyter NotebookPythonTextCSSHTMLJavaScriptMarkdownSQL
Technical Skills
AstrophysicsAstropyData AnalysisData VisualizationMatplotlibMetadata Management
Stephanie Juneau
PROFILE
Stephanie Juneau
Stephanie Juneau developed a suite of Jupyter notebooks for the astro-datalab/notebooks-latest repository, focusing on data exploration and visualization for astronomical research. She built tools for analyzing the Coma Cluster and DESI DR1 datasets, implementing features such as redshift distribution plots, spectral-type analysis, and SPARCL-based spectra visualization. Her approach emphasized robust documentation, metadata management, and code organization, using Python, SQL, and Astropy to streamline data access and analysis. By refining onboarding materials and enhancing reproducibility, Stephanie’s work enabled research teams to efficiently explore large datasets, improved project structure, and supported collaborative workflows within the scientific computing environment.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
14Total
Bugs
0
Commits
14
Features
4
Lines of code
48,937
Activity Months3
Your Network
21 people
Work History
October 2025
1 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for astro-datalab/notebooks-latest: Delivered Notebook Documentation and Demo Enhancement. Implemented an updated Jupyter notebook with a new example figure showing a prospect display with a DESI spectrum, expanded the summary section, and elaborated on tool capabilities and data handling. Version bumped to reflect October 2025 release. Change implemented via commit c9c3a1c8d8894849d1bfee6a20346826b54d0f01. No major bugs fixed this month. This work improves onboarding, clarifies capabilities for data exploration, and strengthens reproducibility for notebook users. Technologies demonstrated: Jupyter notebooks, data visualization, documentation, and versioning.
1 Commits • 1 Features
Oct 1, 2025October 2025 monthly summary for astro-datalab/notebooks-latest: Delivered Notebook Documentation and Demo Enhancement. Implemented an updated Jupyter notebook with a new example figure showing a prospect display with a DESI spectrum, expanded the summary section, and elaborated on tool capabilities and data handling. Version bumped to reflect October 2025 release. Change implemented via commit c9c3a1c8d8894849d1bfee6a20346826b54d0f01. No major bugs fixed this month. This work improves onboarding, clarifies capabilities for data exploration, and strengthens reproducibility for notebook users. Technologies demonstrated: Jupyter notebooks, data visualization, documentation, and versioning.
October 2025
March 2025
9 Commits • 1 Features
Mar 1, 2025March 2025 monthly performance focused on enabling research teams to explore DESI DR1 data efficiently through end-to-end notebooks. Delivered the DESI DR1 Notebooks: Comprehensive Data Exploration and Visualization for astro-datalab/notebooks-latest, providing data access, filtering, spectral-type analysis, redshift visualization, and SPARCL-based spectra plotting, paired with improved documentation and project structure to support DR1 notebook usage. The work enhances reproducibility, accelerates insight generation, and reduces onboarding time for DR1 data exploration.
March 2025
9 Commits • 1 Features
Mar 1, 2025March 2025 monthly performance focused on enabling research teams to explore DESI DR1 data efficiently through end-to-end notebooks. Delivered the DESI DR1 Notebooks: Comprehensive Data Exploration and Visualization for astro-datalab/notebooks-latest, providing data access, filtering, spectral-type analysis, redshift visualization, and SPARCL-based spectra plotting, paired with improved documentation and project structure to support DR1 notebook usage. The work enhances reproducibility, accelerates insight generation, and reduces onboarding time for DR1 data exploration.
January 2025
4 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for astro-datalab/notebooks-latest: Delivered a new Cosmic Slime Notebook for Coma Cluster analysis with visualizations of sky coverage and redshift distributions to aid cluster localization. Implemented metadata and documentation improvements, including adding the keyword 'quenching', updated author metadata, and refined wording and table readability. Addressed QA feedback with targeted fixes (typos, code adjustments, and refs) from peer reviews. Result: improved research capability, faster discovery and onboarding, and higher reproducibility through better documentation and quality controls. Technologies/skills demonstrated: Jupyter notebook development, data visualization, metadata management, documentation practices, and collaborative code reviews.
4 Commits • 2 Features
Jan 1, 2025January 2025 monthly summary for astro-datalab/notebooks-latest: Delivered a new Cosmic Slime Notebook for Coma Cluster analysis with visualizations of sky coverage and redshift distributions to aid cluster localization. Implemented metadata and documentation improvements, including adding the keyword 'quenching', updated author metadata, and refined wording and table readability. Addressed QA feedback with targeted fixes (typos, code adjustments, and refs) from peer reviews. Result: improved research capability, faster discovery and onboarding, and higher reproducibility through better documentation and quality controls. Technologies/skills demonstrated: Jupyter notebook development, data visualization, metadata management, documentation practices, and collaborative code reviews.
January 2025
Activity
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Quality Metrics
Correctness94.2%
Maintainability94.2%
Architecture90.0%
Performance91.4%
AI Usage22.8%
Skills & Technologies
Programming Languages
CSSHTMLJavaScriptJupyter NotebookMarkdownPythonSQLText
Technical Skills
AstronomyAstrophysicsAstropyCode OrganizationDESIData AnalysisData VisualizationDataLabDatabase QueryingDocumentationFile ManagementJupyter NotebooksMarkdownMatplotlibMetadata Management
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline