coding-for-reproducible-research/CfRR_Courses
Apr 2025 – Apr 2025
1 Month active
Languages Used
C++Jupyter NotebookPythonRR Markdown
Technical Skills
BenchmarkingCode OptimizationCode StyleData AnalysisData ManipulationData Visualization
ccrilly
PROFILE
Ccrilly
During April 2025, Chris Crilly enhanced the coding-for-reproducible-research/CfRR_Courses repository by developing a microbenchmarking notebook to compare R code performance and by standardizing code formatting and notebook readability. Leveraging R, Rcpp, and Jupyter Notebooks, Chris addressed LaTeX rendering issues and cleaned up unused imports, resulting in more maintainable and reproducible course materials. The technical approach focused on improving data manipulation tooling and startup processes, which reduced onboarding friction and clarified performance characteristics. This work provided deeper visibility into code efficiency and usability, reflecting a thoughtful, detail-oriented engineering effort that strengthened the repository’s reproducibility and long-term maintainability.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
6Total
Bugs
0
Commits
6
Features
1
Lines of code
3,300
Activity Months1
Your Network
33 peopleSame Organization
@exeter.ac.uk17
Shared Repositories
16
Work History
April 2025
6 Commits • 1 Features
Apr 1, 2025April 2025 — Delivered a consolidated initiative to elevate R code quality, performance benchmarking, data manipulation tooling, and notebook readability in coding-for-reproducible-research/CfRR_Courses. Implemented a microbenchmarking notebook, standardized formatting, and fixed LaTeX rendering in Rcpp materials. These changes improve reproducibility, onboarding, and maintenance across course materials while enabling better visibility into performance characteristics.
6 Commits • 1 Features
Apr 1, 2025April 2025 — Delivered a consolidated initiative to elevate R code quality, performance benchmarking, data manipulation tooling, and notebook readability in coding-for-reproducible-research/CfRR_Courses. Implemented a microbenchmarking notebook, standardized formatting, and fixed LaTeX rendering in Rcpp materials. These changes improve reproducibility, onboarding, and maintenance across course materials while enabling better visibility into performance characteristics.
April 2025
Activity
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Quality Metrics
Correctness86.6%
Maintainability86.6%
Architecture83.4%
Performance83.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
C++Jupyter NotebookPythonRR Markdown
Technical Skills
BenchmarkingCode OptimizationCode StyleData AnalysisData ManipulationData VisualizationDocumentationJupyter NotebooksParallel ComputingPerformance OptimizationR MarkdownR ProgrammingR programmingRcppReproducible Research
Repositories Contributed To
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