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lawlesst / .gitignore
Last active October 8, 2021 20:45
Sample notebooks for Constellate:
lawlesst / tesseract-setup.ipynb
Last active June 3, 2021 15:33
Constellate Binder Tesseract
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lawlesst / .gitignore
Last active July 7, 2020 16:06 gists
lawlesst /
Last active May 21, 2020 11:28 — forked from cmoscardi/
Jupyter Notebook Output Cleaning Script
import io
import sys
from nbformat import read, write
# Handle either stdin or a filename
if __name__ == '__main__':
for filename in sys.argv[1:]:
print(filename, file=sys.stderr)
lawlesst /
Created March 15, 2019 20:05
Connect RDFLib's SPARQL Store to Amazon Neptune
RDFLib SPARQLStore wrapper for use with Neptune
import sys
import os
import warnings
from rdflib import URIRef, Graph, ConjunctiveGraph
lawlesst / top10_by_language_pages.csv
Last active October 17, 2016 02:40
baseball and wikidata fame
We can make this file beautiful and searchable if this error is corrected: It looks like row 10 should actually have 5 columns, instead of 4. in line 9.
Babe Ruth,55,1,,
Ichiro Suzuki,52,2,,
Yogi Berra,46,3,,
Jackie Robinson,42,4,,
Joe DiMaggio,40,5,,
Jim Thorpe,39,6,,
Hank Aaron,36,7,,
Mickey Mantle,30,8,,
Alex Rodriguez,29,9,
lawlesst /
Last active October 6, 2016 18:59
Lookup UTs in AMR and output to CSV.
Look up batches of UTs in InCites.
Run as:
$ python sample_file.csv outputfile.csv
import csv
lawlesst / vivo-sparql-datasource-config.json
Last active August 17, 2016 17:58
Config for LDF Server VivoSparqlDatasource
"title": "Linked Data Fragments server",
"datasources": {
"local-vivo": {
"title": "VIVO",
"type": "VivoSparqlDatasource",
"description": "local VIVO",
"settings": {
"endpoint": "http://localhost:8080/vivo/api/sparqlQuery",
lawlesst / amr.xml
Last active August 15, 2016 15:10
Sample call and response for Links AMR web service
<?xml version="1.0" encoding="UTF-8" ?>
<request xmlns="" src="">
<fn name="LinksAMR.retrieve">
<!-- authentication -->
<val name="username">xxx</val>
<val name="password">xxx</val>
<!-- what to to return -->
We can't make this file beautiful and searchable because it's too large.