Intro to Data Manipulation with Python CSV (Adam Lott)

Archivists frequently inherit huge amounts of messy and disorganized data. More often than not, this data does not fit into established organizational systems, and manually reconstructing data can be a monumental task. Luckily, there are tools for automating these processes. This webinar, open to the public, will focus on one such tool, the Python CSV module, which can handle the large-scale manipulation of CSV data. Using this module, we will extract content from a large CSV, isolating specific assets that have yet to be digitized. Basic concepts of Python programming will also be covered, so those with little experience can follow along and create code of their own.

Required Downloads for Following Along:
Python 2.7.12 will be used. If you’d like to follow along, it can be downloaded via https://www.python.org/downloads/
A text editor of your choosing (webinar will be done using Atom)
csv_data.csv

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