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Usage Stats for High-Demand Items with Python

Steele, Henry (2019) Usage Stats for High-Demand Items with Python. In: ELUNA 2019 Annual Meeting, April 29-May 3, 2019, Atlanta, GA.

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Abstract

Does your institution want to know if you have enough copies of high-demand items, such as reserves and equipment? This session will show a way to use the Python pandas and numpy libraries to drill through Analytics reports and find out how often all copies of a given item were checked out. I'll briefly introduce the libraries, and talk about how Tufts has used these stats to allocate funding for our Purchased Textbook program.

Item Type:Conference or Workshop Item (Other)
Event Title:ELUNA 2019 Annual Meeting
Subjects:Developers Day
Divisions:ELUNA Conference Proceedings
ID Code:1831
Deposited By: Eluna Programs
Deposited On:07 Jun 2019 00:17
Last Modified:07 Jun 2019 00:17

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