MrJeremyHobbs

#!/usr/python3
import os
import csv
from ipwhois import IPWhois

# clean-up
try:
    os.remove('.\\output\\Z39.50 Usage - IPs (last 3 months) -- enhanced.csv')
except FileNotFoundError:
    pass

comstock

curl "https://api.lib.harvard.edu/v2/items.[xml | dc | json]?recordIdentifier=[Hollis ID]"

Example, Dublin Core output: curl "https://api.lib.harvard.edu/v2/items.dc?recordIdentifier=990058255550203941"

• LibraryCloud Item API documentation

ngeraci

influential
renowned
not(able|ed)
distinguished
reputable
prestigious
prominent
significant
respected
expert

ngeraci

""" Adaptation of Kelly Bolding's Terms of Aggrandizement xquery script to report on aggrandizing
    language in archival finding aid "Biography or History" (bioghist) notes.

    The original script uses xquery on a directory of EAD XML files, and produces an XML report.
    This version uses Python to query the ArchivesSpace REST API, and produces a JSON report.
"""

import re
import json
from asnake.aspace import ASpace

chrisdaaz

Git and GitHub for Librarians: A Brief Bibliography

Each citation includes an abstract or annotation. Feel free to suggest an addition!

Libraries

Davis, Robin Camille. 2015. “Git and GitHub for Librarians.” Publications and Research, January. https://academicworks.cuny.edu/jj_pubs/34.

• One of the fastest-growing professional social networks is GitHub, an online space to share code. GitHub is based on free and open-source software called Git, a version control system used in many digital projects, from library websites to government data portals to scientific research. For projects that involve developing code and collaborating with others, Git is an invaluable tool; it also creates a backup system and structured documentation. In this article, we examine version control, the particulars of Git, the burgeoning social network of GitHub, and how Git can be an archival tool.

kschlottmann

<data>
{
for $Record in /ead

where $Record/archdesc/scopecontent/p[contains(., 'Mrs')]

let $id := $Record/archdesc/did/unitid[1]/text()
let $title := $Record/archdesc/did/unittitle
let $repo := $Record/eadheader/eadid/@mainagencycode
let $scopeMrs := $Record/archdesc/scopecontent/p[contains(., 'Mrs')]

UncleCJ

How to use Gephi to visualize from Wikidata

I'm a long-time fan of the graph visualization tool Gephi and since Wikimania 2019 I got involved with Wikidata. I was aware of the Gephi plugin "Semantic Web Importer", but when I check it out, I only find old tutorials connecting to DBpedia, not Wikidata:

• "Visualising Related Entries in Wikipedia Using Gephi" by Tony Hirst, 2012-07-03
• "Let’s Play Gephi: Dbpedia, RDF, Sparql and your favorite Actors" by Matthieu Totet, 2015-10-06
• ["Gephi tutorials: Semantic Web Importer" by Matthieu

alinazhanguwo

from itertools import chain, starmap

def flatten_json_iterative_solution(dictionary):
    """Flatten a nested json file"""

    def unpack(parent_key, parent_value):
        """Unpack one level of nesting in json file"""
        # Unpack one level only!!!
        
        if isinstance(parent_value, dict):

pmgreen

Using regular expressions in OpenRefine

A regular expression is a string that describes a text pattern occurring in other strings, m'kay.

Basic concepts

With which one can go quite far.

* metacharacters
* character escapes \
* anchors \A\Z or ^$

LeCoupa

// XPath CheatSheet
// To test XPath in your Chrome Debugger: $x('/html/body')
// http://www.jittuu.com/2012/2/14/Testing-XPath-In-Chrome/


// 0. XPath Examples.
// More: http://xpath.alephzarro.com/content/cheatsheet.html


'//hr[@class="edge" and position()=1]'                // every first hr of 'edge' class