chsharrison/Sci_comp_F24
Oct 2024 – Dec 2024
3 Months active
Languages Used
JSONJupyter NotebookMarkdownPythonipynb
Technical Skills
Academic WritingData AnalysisDocumentationFile ManagementHPCJupyter Notebook
owhonda1
PROFILE
Owhonda1
Contributed to the chsharrison/Sci_comp_F24 repository by developing and refining a suite of Jupyter notebooks and educational materials focused on scientific computing and data analysis. Over three months, delivered twelve new features including end-to-end workflows for population modeling, time series analysis, and machine learning, leveraging Python, NumPy, and Pandas. Enhanced reproducibility and onboarding by improving documentation, updating course templates, and maintaining repository hygiene through systematic removal of obsolete files. Implemented practical utilities for file transfer and command line workflows, while supporting hands-on learning with visualizations and parameter explorations. Addressed one bug to further streamline content and reduce confusion.
Overall Statistics
Feature vs Bugs
92%Features
Repository Contributions
36Total
Bugs
1
Commits
36
Features
12
Lines of code
24,575
Activity Months3
Your Network
37 peopleWork History
December 2024
6 Commits • 2 Features
Dec 1, 2024December 2024: Delivered end-to-end predator-prey analysis workflow in Sci_comp_F24. Implemented a Python Jupyter notebook modeling Lotka-Volterra dynamics with Euler integration and visualizations of time-series and phase-space trajectories, including basic parameter sensitivity exploration. Added OSC final project documentation and generated data assets (plots/images) to support documentation and results sharing. Cleaned up repository by removing obsolete notebook to reduce confusion and maintain content relevance. These contributions enhance reproducibility, onboarding, and collaboration across the team.
6 Commits • 2 Features
Dec 1, 2024December 2024: Delivered end-to-end predator-prey analysis workflow in Sci_comp_F24. Implemented a Python Jupyter notebook modeling Lotka-Volterra dynamics with Euler integration and visualizations of time-series and phase-space trajectories, including basic parameter sensitivity exploration. Added OSC final project documentation and generated data assets (plots/images) to support documentation and results sharing. Cleaned up repository by removing obsolete notebook to reduce confusion and maintain content relevance. These contributions enhance reproducibility, onboarding, and collaboration across the team.
December 2024
November 2024
15 Commits • 6 Features
Nov 1, 2024Month: 2024-11. This monthly summary covers the Sci_comp_F24 repository (chsharrison/Sci_comp_F24). Key deliverables include six new Jupyter notebooks and a population dynamics simulation that advance Pandas-based data analysis, statistics, time series, ML workflows, and data-transfer training. Notable utilities implemented include a function to find the largest of three numbers without using max(), a powers-of-two function and logarithmic plot, and SCP/rsync workflow instructions with cleanup of outdated checkpoints. The updates enhance hands-on learning, reproducibility, and data science literacy while improving repository hygiene.
November 2024
15 Commits • 6 Features
Nov 1, 2024Month: 2024-11. This monthly summary covers the Sci_comp_F24 repository (chsharrison/Sci_comp_F24). Key deliverables include six new Jupyter notebooks and a population dynamics simulation that advance Pandas-based data analysis, statistics, time series, ML workflows, and data-transfer training. Notable utilities implemented include a function to find the largest of three numbers without using max(), a powers-of-two function and logarithmic plot, and SCP/rsync workflow instructions with cleanup of outdated checkpoints. The updates enhance hands-on learning, reproducibility, and data science literacy while improving repository hygiene.
October 2024
15 Commits • 4 Features
Oct 1, 20242024-10 monthly summary for chsharrison/Sci_comp_F24: Delivered updated lab content and refreshed course materials, while improving repository hygiene to reduce maintenance overhead. The month focused on producing consistent, ready-to-ship materials for the Fall cohort and improving student experience through clearer labs and up-to-date templates, notebooks, and PDFs.
15 Commits • 4 Features
Oct 1, 20242024-10 monthly summary for chsharrison/Sci_comp_F24: Delivered updated lab content and refreshed course materials, while improving repository hygiene to reduce maintenance overhead. The month focused on producing consistent, ready-to-ship materials for the Fall cohort and improving student experience through clearer labs and up-to-date templates, notebooks, and PDFs.
October 2024
Activity
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Quality Metrics
Correctness89.4%
Maintainability89.4%
Architecture85.0%
Performance82.2%
AI Usage21.0%
Skills & Technologies
Programming Languages
JSONJupyter NotebookMarkdownPythonipynb
Technical Skills
Academic WritingCommand Line InterfaceCommand Line Interface (CLI)Command Line Utilities (scp, rsync)Data AnalysisData CampData ManipulationData ScienceData VisualizationDifferential EquationsDocumentationEducational Content DeliveryEducational Content DevelopmentFile ManagementFile Transfer
Repositories Contributed To
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