Jupyter Notebooks for Digital Humanities
A curated collection of Jupyter notebooks for digital humanities research and teaching, covering text analysis, data visualization, and more.
What is Jupyter Notebooks for Digital Humanities?
DH-Jupyter is a curated collection of Jupyter notebooks tailored for digital humanities research and education. It provides practical examples and tutorials for applying computational methods—like text analysis, data visualization, and machine learning—to humanities questions. The repository aggregates notebooks from various projects and courses, serving as a hub for learning and collaboration in the DH community.
Digital humanities scholars, educators, and students who want to integrate computational analysis into their research or teaching. It's also valuable for librarians, archivists, and cultural heritage professionals exploring data-driven methods.
It offers a centralized, multilingual resource of real-world notebooks, reducing the barrier to entry for computational humanities. Unlike generic tutorials, these notebooks are grounded in actual DH projects and pedagogical contexts, making them immediately applicable.
Overview
A collection of Jupyter notebooks in many human and computer languages for doing digital humanities. PRs welcome!
Use Cases
Best For
- Learning Python for humanities research through project-based examples
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