Courses 2017 · TX
- Black Publics in the Humanities: Critical and Collaborative DH Projects
- Collaboration for Complex Research: Crowdsourcing in the Humanities
- Getting Started with Data, Tools, and Platforms
- Help! I’m a Humanist! — Humanities Programming with Python
- Humanities Research with Sound: Introduction to Audio Machine Learning
- Introduction to the Text Encoding Initiative (TEI) for Historical Documents
- Text Analysis
- Working with Scalar
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.