A sequel to last semester’s ‘Tools for Text Analysis in the Humanities’, this session will give participants a brief yet hands-on introduction to NLTK, the Natural Language Toolkit. This extension to the popular Python programming language is geared specifically toward computational work with written human language data. In this introduction, we will use tools from this library to tokenize a corpus into sentences, n-grams, and words, create word frequency lists, view concordances, and do part-of-speech tagging. In doing so, this session will also serve as a very gentle introduction to the Python programming language. Absolutely no experience with Python or with programming is expected or required.