chsharrison/Sci_comp_F24
Oct 2024 – Dec 2024
3 Months active
Languages Used
Jupyter NotebookMarkdownPython
Technical Skills
Data AnalysisFizzBuzz ProblemJupyter NotebookNumPyPandasPython Programming
punchvic
PROFILE
Punchvic
Over three months, Victor Punch developed a suite of Jupyter notebooks and supporting assets for the chsharrison/Sci_comp_F24 repository, focusing on practical data science, scientific computing, and onboarding resources. He implemented features such as a FizzBuzz instructional lab, NumPy and Pandas exercises, and reproducible workflows for file transfer to HPC environments. Victor also created modeling and machine learning labs, including a Lotka-Volterra predator-prey simulation and classification exercises using scikit-learn. His work emphasized clear documentation, reproducibility, and asset management, leveraging Python, Jupyter Notebook, and pandas to deliver accessible, well-structured resources that support both learning and project reporting.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
13Total
Bugs
0
Commits
13
Features
9
Lines of code
10,369
Activity Months3
Your Network
9 people
Work History
December 2024
5 Commits • 5 Features
Dec 1, 2024December 2024 delivered a cohesive set of reproducible notebooks in the Sci_comp_F24 project, focusing on practical data science skills and computational modeling. Key work established ready-to-use resources for learning, experimentation, and reporting, with an emphasis on clear documentation and accessible demonstrations of modeling, ML, data wrangling, and environmental data analysis. The work supports onboarding, self-guided learning, and evidence-based project reporting while strengthening core technical capabilities.
5 Commits • 5 Features
Dec 1, 2024December 2024 delivered a cohesive set of reproducible notebooks in the Sci_comp_F24 project, focusing on practical data science skills and computational modeling. Key work established ready-to-use resources for learning, experimentation, and reporting, with an emphasis on clear documentation and accessible demonstrations of modeling, ML, data wrangling, and environmental data analysis. The work supports onboarding, self-guided learning, and evidence-based project reporting while strengthening core technical capabilities.
December 2024
November 2024
3 Commits • 1 Features
Nov 1, 2024Concise monthly summary for 2024-11 focused on delivering practical data science lab infrastructure and HPC workflow support within the Sci_comp_F24 project. The month centered on creating ready-to-use notebooks for Lab 11.x (statistics, file transfer to LSU HPC, and time series analysis), plus solidifying the approach through initial commits and clear documentation.
November 2024
3 Commits • 1 Features
Nov 1, 2024Concise monthly summary for 2024-11 focused on delivering practical data science lab infrastructure and HPC workflow support within the Sci_comp_F24 project. The month centered on creating ready-to-use notebooks for Lab 11.x (statistics, file transfer to LSU HPC, and time series analysis), plus solidifying the approach through initial commits and clear documentation.
October 2024
5 Commits • 3 Features
Oct 1, 2024Concise monthly summary for 2024-10: Delivered three major features in chsharrison/Sci_comp_F24, plus onboarding assets. Key notebooks include a FizzBuzz Lab Notebook and a Scientific Computing lab notebook with NumPy/Pandas exercises, along with essential artifacts for Zhenwei Wu (CV, final proposal, bib screenshot). No major bugs reported; maintained stability. Business impact includes enhanced learning resources, reproducibility, and onboarding readiness, demonstrating strong notebook-based teaching artifacts and asset management.
5 Commits • 3 Features
Oct 1, 2024Concise monthly summary for 2024-10: Delivered three major features in chsharrison/Sci_comp_F24, plus onboarding assets. Key notebooks include a FizzBuzz Lab Notebook and a Scientific Computing lab notebook with NumPy/Pandas exercises, along with essential artifacts for Zhenwei Wu (CV, final proposal, bib screenshot). No major bugs reported; maintained stability. Business impact includes enhanced learning resources, reproducibility, and onboarding readiness, demonstrating strong notebook-based teaching artifacts and asset management.
October 2024
Activity
Loading activity data...
Quality Metrics
Correctness90.8%
Maintainability90.8%
Architecture87.6%
Performance83.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
Jupyter NotebookMarkdownPython
Technical Skills
Command Line InterfaceData AnalysisData ScienceData VisualizationDifferential EquationsFile TransferFizzBuzz ProblemHPC UsageJupyter NotebookJupyter NotebooksMachine LearningMatplotlibNumPyNumerical MethodsPandas
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline