Overview
A curated collection of Jupyter notebooks specifically designed for digital humanities research and education, compiled by Quinn Dombrowski.
Content Areas
- Research materials and examples
- Course content for DH education
- Python tutorials for humanities
- Specific analysis tools and workflows
- Text analysis notebooks
- Data visualization examples
Format
- GitHub Repository
- Language: Python/Jupyter
- Level: Various (Beginner to Advanced)
- Cost: Free/Open Source
Target Audience
- DH researchers using computational methods
- Students learning Python for humanities
- Educators teaching computational DH
- Anyone exploring Jupyter for research
Resources
- GitHub Repository: GitHub - quinnanya/dh-jupyter: A collection of Jupyter notebooks in many human and computer languages for doing digital humanities. PRs welcome!
Relevance to Digital Humanities
Provides ready-to-use computational notebooks for common DH tasks, lowering the barrier to entry for humanities scholars working with data.