coding-for-reproducible-research/CfRR_Courses
Jul 2025 – Jul 2025
1 Month active
Languages Used
JSONMarkdownRR Markdown
Technical Skills
Dependency ManagementDockerDocumentationPackage ManagementRR Environment Management
amyheather
PROFILE
Amyheather
In July 2025, Alex Heather developed and delivered core course infrastructure for the CfRR_Courses repository, focusing on reproducibility and maintainability in R-based learning environments. Alex created a comprehensive R Environments page, providing detailed setup and management guides using renv and rig, and improved the flow for R version management and dependency handling. The work included enhancements to Jupyter Book build documentation, clarifying local build processes with Markdown and JSON. By refining documentation structure and troubleshooting guidance, Alex reduced onboarding friction for instructors and learners. The depth of technical writing and environment management demonstrated a strong commitment to reliable, reproducible research workflows.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
9Total
Bugs
0
Commits
9
Features
2
Lines of code
1,120
Activity Months1
Your Network
30 people
Work History
July 2025
9 Commits • 2 Features
Jul 1, 2025July 2025 developed and delivered core course infrastructure in CfRR_Courses, with a strong emphasis on reproducibility, maintainability, and learner onboarding. Features centered on aging documentation and local build workflows to reduce setup friction and improve instructor tooling. No major bug fixes were recorded this month; instead, we focused on feature delivery and documentation polish to raise overall quality and reliability.
9 Commits • 2 Features
Jul 1, 2025July 2025 developed and delivered core course infrastructure in CfRR_Courses, with a strong emphasis on reproducibility, maintainability, and learner onboarding. Features centered on aging documentation and local build workflows to reduce setup friction and improve instructor tooling. No major bug fixes were recorded this month; instead, we focused on feature delivery and documentation polish to raise overall quality and reliability.
July 2025
Activity
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Quality Metrics
Correctness95.6%
Maintainability95.6%
Architecture95.6%
Performance91.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
JSONMarkdownRR Markdown
Technical Skills
Dependency ManagementDockerDocumentationPackage ManagementRR Environment ManagementR-universeReproducible ResearchTechnical WritingVersion Controlrenvrig
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