Python_Workshop_Humanities_July_2019

Workshop - Language processing and data science with Python

Binder(cloud hosted Jupyter notebooks)

Baltic Summer School of Digital Humanities

Essentials of Coding and Encoding

Syllabus

Part I - Introduction to Python and Jupyter (90 mins)

• why Python? Trends
• setting up a working Python environment with Jupyter notebooks
• Python Data Structures
• Program Flow
• basic Functions.

Part 2 90 mins

• important Python libraries for analyzing textual content (NLTK)
• importing and wrangling data (how to obtain data)
• analyzing data
• data export and visualization.

Part 3 90 mins

• projects with NLTK
• other projects from beginner to intermediate
• further themes for research

Bonus

Machine Learning approaches

• classification
• clustering
• sentiment analysis