astro-datalab/notebooks-latest
Sep 2025 – Oct 2025
2 Months active
Languages Used
Jupyter NotebookPythonYAML
Technical Skills
AstrophysicsConfiguration ManagementData AnalysisData VisualizationJupyter NotebookJupyter Notebooks
Astro-Morgan
PROFILE
Astro-morgan
Morgan contributed to the astro-datalab/notebooks-latest repository by developing and refining Jupyter Notebooks for AGNQSO analysis, focusing on both technical robustness and user experience. They adapted a DESI-based tutorial notebook, resolving notebook ID conflicts and upgrading the environment to the DESI 25.3 kernel for improved reproducibility. Using Python and YAML, Morgan reorganized configuration files to ensure consistent access and reduced environment drift. In subsequent work, they enhanced notebook presentation by standardizing diagnostic diagram titles, clarifying AGN explanations, and updating metadata for auditability. Their efforts demonstrated depth in configuration management, scientific computing, and data visualization, supporting reliable onboarding and experimentation.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
4Total
Bugs
0
Commits
4
Features
3
Lines of code
4,503
Activity Months2
Your Network
11 peopleSame Organization
@alumni.iu.edu1
Work History
October 2025
2 Commits • 1 Features
Oct 1, 2025October 2025: Delivered Notebook Presentation Polish and Content Accuracy Improvements in astro-datalab/notebooks-latest. Outcomes include standardized KEx diagram titles, corrected AGN diagnostic explanation, improved plot label formatting (numbers and Greek letters), and updated notebook metadata with accurate execution timestamps. These changes enhance readability, reproducibility, and trust in notebook outputs used for diagnostics. Implemented through two commits that incorporated reviewer feedback from Stephanie and Alice.
2 Commits • 1 Features
Oct 1, 2025October 2025: Delivered Notebook Presentation Polish and Content Accuracy Improvements in astro-datalab/notebooks-latest. Outcomes include standardized KEx diagram titles, corrected AGN diagnostic explanation, improved plot label formatting (numbers and Greek letters), and updated notebook metadata with accurate execution timestamps. These changes enhance readability, reproducibility, and trust in notebook outputs used for diagnostics. Implemented through two commits that incorporated reviewer feedback from Stephanie and Alice.
October 2025
September 2025
2 Commits • 2 Features
Sep 1, 2025September 2025 monthly summary for astro-datalab/notebooks-latest: Focused on delivering a robust, runnable AGNQSO analytics pathway and stabilizing the notebook environment to support reliable experimentation and onboarding. Key features delivered: - AGNQSO Tutorial Notebook for Astro Data Lab: Added 03_DESI_AGNQSO_VAC_tutorial.ipynb, adapted from DESI for Astro Data Lab. Resolved an nbid conflict by reassigning the notebook ID to prevent data conflicts (nbid updated in both nbid.csv and the RRLyrae notebook). Commit: 7f938342a915d764687d1064f8a9bd031c706020. - Notebook environment stability: Upgraded kernel to DESI 25.3 and relocated agnmask.yaml to notebooks-latest/DESI for consistent environment setup and access to necessary configuration files. Commit: 41ef49922554b286523102a0873710f069f8f134. Major bugs fixed: - Resolved nbid collision across notebooks, eliminating data conflicts and ensuring unique notebook identifiers. - Improved environment consistency by aligning kernel and config file locations to a standard path, reducing runtime failures related to misconfigured environments. Overall impact and accomplishments: - Strengthened reproducibility and onboarding for AGNQSO analysis on the Astro Data Lab platform. - Reduced operational risk from data conflicts and environment drift, enabling smoother collaboration and faster experimentation. Technologies/skills demonstrated: - Notebook management and version-controlled changes, including nbid handling and metadata synchronization. - Jupyter notebook environment provisioning and kernel management (DESI 25.3). - Configuration file organization and deployment practices (agnmask.yaml relocation). - Adaptation of external DESI resources into the Astro Data Lab platform.
September 2025
2 Commits • 2 Features
Sep 1, 2025September 2025 monthly summary for astro-datalab/notebooks-latest: Focused on delivering a robust, runnable AGNQSO analytics pathway and stabilizing the notebook environment to support reliable experimentation and onboarding. Key features delivered: - AGNQSO Tutorial Notebook for Astro Data Lab: Added 03_DESI_AGNQSO_VAC_tutorial.ipynb, adapted from DESI for Astro Data Lab. Resolved an nbid conflict by reassigning the notebook ID to prevent data conflicts (nbid updated in both nbid.csv and the RRLyrae notebook). Commit: 7f938342a915d764687d1064f8a9bd031c706020. - Notebook environment stability: Upgraded kernel to DESI 25.3 and relocated agnmask.yaml to notebooks-latest/DESI for consistent environment setup and access to necessary configuration files. Commit: 41ef49922554b286523102a0873710f069f8f134. Major bugs fixed: - Resolved nbid collision across notebooks, eliminating data conflicts and ensuring unique notebook identifiers. - Improved environment consistency by aligning kernel and config file locations to a standard path, reducing runtime failures related to misconfigured environments. Overall impact and accomplishments: - Strengthened reproducibility and onboarding for AGNQSO analysis on the Astro Data Lab platform. - Reduced operational risk from data conflicts and environment drift, enabling smoother collaboration and faster experimentation. Technologies/skills demonstrated: - Notebook management and version-controlled changes, including nbid handling and metadata synchronization. - Jupyter notebook environment provisioning and kernel management (DESI 25.3). - Configuration file organization and deployment practices (agnmask.yaml relocation). - Adaptation of external DESI resources into the Astro Data Lab platform.
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Quality Metrics
Correctness95.0%
Maintainability95.0%
Architecture95.0%
Performance70.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookPythonYAML
Technical Skills
AstrophysicsConfiguration ManagementData AnalysisData VisualizationJupyter NotebookJupyter NotebooksPython ProgrammingScientific Computing
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