{
      "eprintid": 1831,
      "lastmod": "2019-06-07 00:17:16",
      "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.",
      "title": "Usage Stats for High-Demand Items with Python",
      "date": "2019-04-30",
      "subjects": [
        "DevDay"
      ],
      "event_dates": "April 29-May 3, 2019",
      "event_title": "ELUNA 2019 Annual Meeting",
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            "main": "Usage Stats for High-Demand Items with Python.pdf",
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      "event_location": "Atlanta, GA",
      "full_text_status": "restricted",
      "type": "conference_item",
      "event_type": "conference",
      "userid": 42,
      "pres_type": "other",
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      "eprint_status": "archive",
      "metadata_visibility": "show",
      "datestamp": "2019-06-07 00:17:16",
      "uri": "https://beta-documents.el-una.org/id/eprint/1831",
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      "ispublished": "pub",
      "status_changed": "2019-06-07 00:17:16",
      "rev_number": 8,
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      "creators": [
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          "name": {
            "given": "Henry",
            "honourific": null,
            "lineage": null,
            "family": "Steele"
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