lawlesst

datasets/
.ipynb*

lawlesst

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

"""
RDFLib SPARQLStore wrapper for use with Neptune
"""

import sys
import os
import warnings

from rdflib import URIRef, Graph, ConjunctiveGraph

lawlesst

name,pages,rank,wikidata,baseball_ref
Babe Ruth,55,1,http://www.wikidata.org/entity/Q213812,http://www.baseball-reference.com/players/r/ruthba01.shtml
Ichiro Suzuki,52,2,http://www.wikidata.org/entity/Q600,http://www.baseball-reference.com/players/s/suzukic01.shtml
Yogi Berra,46,3,http://www.wikidata.org/entity/Q367566,http://www.baseball-reference.com/players/b/berrayo01.shtml
Jackie Robinson,42,4,http://www.wikidata.org/entity/Q221048,http://www.baseball-reference.com/players/r/robinja02.shtml
Joe DiMaggio,40,5,http://www.wikidata.org/entity/Q297142,http://www.baseball-reference.com/players/d/dimagjo01.shtml
Jim Thorpe,39,6,http://www.wikidata.org/entity/Q221482,http://www.baseball-reference.com/players/t/thorpji01.shtml
Hank Aaron,36,7,http://www.wikidata.org/entity/Q215777,http://www.baseball-reference.com/players/a/aaronha01.shtml
Mickey Mantle,30,8,http://www.wikidata.org/entity/Q345004,http://www.baseball-reference.com/players/m/mantlmi01.shtml
Alex Rodriguez,29,9,http://www.wikidata.org/entity/Q558664

lawlesst

"""
Look up batches of UTs in InCites.

Run as:

$ python incites_batch_lookup.py sample_file.csv outputfile.csv 

"""

import csv

lawlesst

{
  "title": "Linked Data Fragments server",
  
  "datasources": {
      "local-vivo": {
        "title": "VIVO",
        "type": "VivoSparqlDatasource",
        "description": "local VIVO",
        "settings": {
          "endpoint": "http://localhost:8080/vivo/api/sparqlQuery",

lawlesst

<?xml version="1.0" encoding="UTF-8" ?>
<request xmlns="http://www.isinet.com/xrpc41" src="app.id=InternalVIVODemo">
  <fn name="LinksAMR.retrieve">
    <list>
      <!-- authentication -->
      <map>
        <val name="username">xxx</val>
        <val name="password">xxx</val>
      </map>
      <!-- what to to return -->

lawlesst

birthCity,birthState,birthYear,lat,long
Aberdeen,MD,1935,39.515856,-76.170180
Aberdeen,MD,1869,39.515856,-76.170180
Aberdeen,MS,1901,33.828299,-88.554741
Aberdeen,SD,1977,45.464678,-98.468104
Aberdeen,SD,1893,45.464678,-98.468104
Aberdeen,SD,1959,45.464678,-98.468104
Aberdeen,SD,1943,45.464678,-98.468104
Aberdeen,WA,1959,46.976677,-123.809718
Aberdeen,WA,1914,46.976677,-123.809718

lawlesst

September 25, 2015

Steps to run ldf-server on Heroku with an HDT backend.

• Read the Node troubleshooting guide from Heroku for background.
• Run the commands in the Start with a Blank Slate section of the guide.
• Add package.json to your git repository if it isn't already.
• For my project, I had to explicitly add hdt - 1.2.2 as a dependendency.

package.json

lawlesst

petl

Python ETL

• Documentation: https://petl.readthedocs.org/en/latest/index.html
• Source: https://github.com/alimanfoo/petl
• Mailing list: http://groups.google.com/group/python-etl

Many in the VIVO community use Python for data manipulation and transformation tasks (ETL). petl is a framework for reading data from various sources, transforming it, and passing it along to another source.