TY  - CONF
UR  - https://beta-documents.el-una.org/id/eprint/1831/
AV  - restricted
Y1  - 2019/04/30/
N2  - 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.
M2  - Atlanta, GA
TI  - Usage Stats for High-Demand Items with Python
ID  - eluna1831
A1  - Steele, Henry
T2  - ELUNA 2019 Annual Meeting
ER  -