Abschnittsübersicht

◄Organizational matters
►Part 2: (Re-)introduction to Python

    • Lecture content: What is data science, and why should humanities care about it? Qualitative vs. quantitative research; What is Computational Humanities research? How to represent “cultures and societies” by “data”? Scope and content of the course; Organizational aspects of the course (schedule, grading, infrastructure).


      Tutorial content: Introduction to Python and its Data Science Stack; Installing and configuring interactive Python notebooks (Jupyter Notebooks).


      Homework: Programming exercises – Very Basics of Python programming. Basic data structures (int, float, str, + list, dict, tuples) and control structures (if-else, while, for)

    • Notebook: Python-Basics (HTML-Version) Datei
    • Kick-off slides Datei
◄Organizational matters
►Part 2: (Re-)introduction to Python