Pondering Python? Tantalized by text analysis? Wondering how Jupyter notebooks work? Read on!

In this hands-on session, attendees will learn some basic Python while working in Jupyter notebooks, an interactive web tool for running and writing about code. Next, we'll use Python and Jupyter to run a simple text analysis on a custom dataset built with the Digital Scholar Workbench, a text mining platform for building and analyzing textual datasets from JSTOR, Portico, Chronicling America, DocSouth, and CORD-19. We will close by discussing opportunities to further expand attendees' coding and text analysis skills after the session.

No prior experience with Python, JSTOR, or Jupyter is necessary, and no programming skills are needed or assumed for this session.

This event is co-sponsored by the NULab for Texts, Maps, and Networks (CSSH) and Research Data Services (Northeastern University Library). 

Please note that this session is for Northeastern affiliates only. Please contact Jen Ferguson with any questions.