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Inspiration

Sander Prins edited this page Aug 1, 2024 · 1 revision

Inspiration

In developing the course materials for the Summer School Exploring Culture through Data, inspiration was drawn from the Educational materials by the Centre for Digital Humanities, as well as from:

Name Description
Practicum Dennis Nguyen ???
Gephi Introductory course on network visualization for Humanities.
Programming in Python Entry level course on the basics of the Python programming language. Special attention is given to best practices in coding, e.g.: writing clean code and documentation.
R for Humanities Basics in R syntax, to data handling and visualisation using a set of tools known as the ‘tidyverse’
Data exploration toolkit for cultural data Structure, clean, visualize, and run a preliminary analysis. See https://centrefordigitalhumanities.github.io/det_cultural_data/ for Quarto example.
Web scraping Introduction into web scraping with Python, with the use of Replit.
Visual compiler Online Python compiler with step-by-step visualisation of the code. Useful when learning to understand code.
FAIR Cheatsheets
Summer School 2020 - Python tutorial
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