eprintid: 2132
rev_number: 8
eprint_status: archive
userid: 47
dir: disk0/00/00/21/32
datestamp: 2023-08-10 15:05:12
lastmod: 2023-08-10 15:05:12
status_changed: 2023-08-10 15:05:12
type: conference_item
metadata_visibility: show
creators_name: Holman, Jill
title: E-Resources, NZ Analytics, Python/Pandas/Jupyter & Alma APIs.
ispublished: pub
subjects: alma
divisions: eluna_learns
date: 2022-10
full_text_status: restricted
pres_type: other
event_title: Eluna Learns 2022
event_type: workshop
refereed: FALSE
citation: Holman, Jill (2022) E-Resources, NZ Analytics, Python/Pandas/Jupyter & Alma APIs. In: Eluna Learns 2022.
document_url: https://beta-documents.el-una.org/id/eprint/2132/1/eluna2022er-nz.pdf