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Workshop: Python and Text Analysis for Absolute Beginners

November 30, 2020 @ 2:30 pm - 4:30 pm

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, they’ll pull 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. Students will learn how to run several simple text analyses using Python and Jupyter notebooks, and we will close by discussing opportunities for students to expand their 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 will be hosted remotely. Space is limited and registration is required: for more details and to RSVP, see here.

Led by: Jen Ferguson and Sarah Connell

Co-sponsored with Research Data Services in the Northeastern University Library


November 30, 2020
2:30 pm - 4:30 pm


Virtual: Registration Required


NULab: for Texts, Maps, and Networks
Research Data Services