Digital Scholarship, Digital Media, Digital Humanities: Tutorials & Tools

This is an open online book containing short scholarly API code examples (i.e., “recipes”) that demonstrate how to work with various scholarly web service APIs.

Jupyter notebooks are useful for organizing and documenting code, and embedding code within scholarly arguments and/or pedagogical materials.

Directory of software tools for working with big data and computational methods.

Well documented introductory tutorials to Jupyter Notebooks and Python. Use the template Jupyter Notebooks to analyze a dataset and learn about text analytics. Download or run in your browser with Binder.

"We publish novice-friendly, peer-reviewed tutorials that help humanists learn a wide range of digital tools, techniques, and workflows to facilitate research and teaching. We are committed to fostering a diverse and inclusive community of editors, writers, and readers."

Includes examples from all kinds of data sources

Online textbook that offers an introduction to the programming language Python that is specifically designed for people interested in the humanities and social sciences.

Open textbook/workbook by Brandon Walsh and Sarah Horowitz. Each unit introduces a concept, a tool for digital text analysis (or case studies based on the associated concept), and then provides a series of exercises for practicing the new skills.

This web site is designed to be a starting place, an entryway for scholars interested in beginning to explore the possibilities for digital tools, programs, and methods to empower and enhance their scholarship in the humanities.

Curriculum developed by Celia Emmelhainz for the Ethnographic Data Curation Workshop held at Lewis & Clark College on September 26-27, 2019.