fnielsen

#!//usr/bin/env python
"""
Usage:
  url_to_sentence_collector_sentences <url>

Description:
  https://commonvoice.mozilla.org/sentence-collector/#/how-to

"""
from docopt import docopt

fnielsen

fnielsen

fnielsen

"""
Usage:
  Nielsen2017Linking_camera.py

Notes
-----
This script demonstrates the use of Wikidata together with
ImageNet-based deep learning classifiers. It relates to the manuscript
"Linking ImageNet WordNet Synsets with Wikidata" from 2018. 

fnielsen

{0: {'id': '01440764-n',
     'label': 'tench, Tinca tinca',
     'uri': 'http://wordnet-rdf.princeton.edu/wn30/01440764-n'},
 1: {'id': '01443537-n',
     'label': 'goldfish, Carassius auratus',
     'uri': 'http://wordnet-rdf.princeton.edu/wn30/01443537-n'},
 2: {'id': '01484850-n',
     'label': 'great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias',
     'uri': 'http://wordnet-rdf.princeton.edu/wn30/01484850-n'},
 3: {'id': '01491361-n',

fnielsen

"""Federated queries with Virtuoso."""


import sys

from SPARQLWrapper import SPARQLWrapper, JSON


QUERY_WIKIDATA = """
PREFIX wd: <http://www.wikidata.org/entity/>

fnielsen

import pandas as pd

df = pd.DataFrame([[1, 2, 's'], [3, 4, 't'], [4, 5, 'u']], 
                  index=[-1, 0, 1], columns=['a', 'b', 'c'])

>>> df.a    # Correct type
-1    1
 0    3
 1    4
Name: a, dtype: int64

fnielsen

fnielsen

# https://github.com/fnielsen/everything
from everything import * 

import pyfftw.interfaces.scipy_fftpack


def is_prime(n):
    """https://stackoverflow.com/questions/18833759/"""
    if n % 2 == 0 and n > 2: 
        return False