π¬ A comprehensive research laboratory for GitHub Universe 2025 sessions, experiments, and analysis
This repository serves as a structured research environment for GitHub Universe 2025, providing:
- π Session Tracking: Organize conference sessions and technical content
- π¬ Research Framework: Systematic approach to topic exploration
- π§ͺ Experiment Templates: Reproducible research methodology
- π Knowledge Management: Literature reviews and reference organization
- π Analysis Tools: Data visualization and metrics tracking
- πΊοΈ Concept Mapping: Visual knowledge synthesis
- π Org-mode Integration: Literate programming and executable documentation
- π Python Analytics: Advanced data analysis and visualization
- π Mermaid Diagrams: System modeling and concept visualization
- π€ Automated Workflows: Session tracking and experiment management
- π Template System: Standardized research and experiment formats
- π Git Integration: Version-controlled research with proper documentation
# Clone the repository
git clone https://github.com/aygp-dr/github-universe-2025.git
cd github-universe-2025
# Set up environment
python -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install dependencies
pip install -r requirements.txt
# Initialize research environment
python setup.py initgithub-universe-2025/
βββ sessions/ # Conference session tracking
βββ experiments/ # Research experiments and analysis
βββ literature/ # Papers and reference materials
βββ analysis/ # Data analysis and visualizations
βββ templates/ # Research and experiment templates
βββ docs/ # Documentation and guides
βββ tools/ # Utility scripts and helpers
This lab follows a structured research approach:
- Session Documentation: Systematic tracking of conference content
- Hypothesis Formation: Clear research questions and objectives
- Experiment Design: Reproducible research methodology
- Data Collection: Structured data gathering and organization
- Analysis & Synthesis: Statistical analysis and knowledge synthesis
- Documentation: Comprehensive reporting and knowledge sharing
- Quantitative Analysis: Statistical methods and metrics
- Qualitative Research: Content analysis and thematic coding
- Visualization: Interactive charts and concept maps
- Synthesis: Knowledge graphs and research summaries
- Python: Core analysis and computation
- Jupyter: Interactive research notebooks
- Org-mode: Literate programming and documentation
- Mermaid: Diagram generation and visualization
- Git: Version control and collaboration
- Fork the repository
- Create a feature branch (
git checkout -b feature/amazing-research) - Commit your changes (
git commit -m 'feat: add amazing research') - Push to the branch (
git push origin feature/amazing-research) - Open a Pull Request
This project is licensed under the MIT License - see the LICENSE file for details.
Built for GitHub Universe 2025 | Research β’ Analysis β’ Innovation