This repository contains the course material for the Introduction to Digital Humanities (IDH), a first-year, first-semester course in IE University's BA in Humanities.
The course introduces students to the theory and practice of Digital Humanities, with a hands-on focus on Python programming for humanistic inquiry. No prior coding experience is required. By the end of the course, students will be able to:
- Understand key concepts and debates in Digital Humanities.
- Write basic Python code to analyse textual and tabular data.
- Use computational methods to explore humanities research questions.
The notebooks will use data from the Project Gutenberg (PG, https://www.gutenberg.org/).
├── Notebooks/
│ ├── *.ipynb # Jupyter notebooks
│ ├── *.py # Python files with questions and exercises loaded within the notebooks
│ └── PG/ # CSV files with selected metadata from PG
│ └── Other_files/ # Data for the exercises within the notebooks
└── README.md
Note that the string "MyName" in the notebook filename should be replaced by each student's name to facilitate the grading.
All notebooks are designed to run in Google Colaboratory, a free, browser-based environment that requires no local installation, just a Google account.
To open a notebook in Colab directly from GitHub, click the "Open in Colab" badge at the top of each notebook, or paste the notebook's GitHub URL into Colab's File → Open notebook → GitHub tab.
If you do not have Google Colaboratory already listed in your Google Drive applications, you can find it in the available apps. Click on New → More → Connect more apps +.
The material in this repository is adapted from Felipe Álvarez de Toledo's Python for Humanities course. The content has been modified to suit the scope of IDH and the level of incoming first-year students.
This project is licensed under the GNU Affero General Public License v3.0 (AGPL-3.0). See the LICENSE file for the full text, or read the license at gnu.org.
In short, you are free to use, modify, and distribute this material, provided that any derivative work is also released under the same license and that the source code is made available, including when the software is offered over a network.