Courses 2018 · PA
- Advocacy by Design
- Collections as Data
- Connecting Digital Humanities to Public Audiences
- Developing Black Digital Humanities Initiatives
- Digital Methods for Interdisciplinary Cultural Studies
- Digital Surrogates: Representation, Engagement, and Meaning
- Help! I’m a Humanist! — Humanities Programming with Python
- Spaces and Stories in the Black Public Humanities
- Text Analysis
This course introduces participants to humanities programming through the use of Python for data acquisition, cleaning, and analysis. The course assumes no prior technical knowledge and will focus on accomplishing basic research tasks. Students should walk away feeling equipped to tackle a variety of typical problems that arise for digital humanists.
We will discuss programming and debugging concepts through the design, implementation, and presentation of small projects working with humanities data. Primary technologies and topics covered in this course will include the command line, Git, GitHub, and Python; working with data sources such as API’s, CSV files, and data scraped from the web; and basic text analysis. Over the course of the week, we will work with data from DPLA and Project Gutenberg. If the words above mean nothing to you, don’t panic—this course is for you.
If you intend to bring your own laptop, you will need to have administrative rights in order to install software.