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Python and Text Analysis for Absolute Beginners

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 Constellate, a text mining platform for building and analyzing textual datasets from sources such as JSTOR, Portico, Chronicling America, and Reveal Digital. 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.

Please note: This session will not be recorded. If you're interested in learning the material but don't plan to attend, please don't register for the session as seats are limited. We welcome you to access the interactive Jupyter book version of our workshop via this link instead.

This event is co-sponsored by the NULab for Texts, Maps, and Networks (CSSH) and Research Data Services (Northeastern University Library). Please contact Jen Ferguson with any questions.

Date:
Tuesday, January 11, 2022
Time:
1:00pm - 3:00pm
Audience:
  Faculty     First-Year Students     Graduate Students     Students  
Categories:
  Hands-on     Online/Webinar     Research Support  

Registration is required. There are 29 seats available.

 

 

 

 

 

 

 

 

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