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(def *possible-dates*
  ["May 15" "May 16" "May 19" "June 17" "June 18" "July 14" "July 16"
   "August 14" "August 15" "August 17"])

;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;;

(defn cheryls-birthday [possible-dates]
  (filter all-statements possible-dates))

(defn month [date]

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import beanstalkc
from redis import Redis

class UniqueQueue(object):
    '''Stores a persistent set of added jobs in Redis to keep jobs from being
       added to the Beanstalkd queue more than once.'''
    def __init__(self, tube_name='default', host='localhost'):
        self.beanstalk = beanstalkc.Connection(host=host)
        self.beanstalk.use(tube_name)
        self.tube = self.beanstalk.using()

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import requests
from functools import partial
from collections import OrderedDict
from xml.dom.minidom import parseString as xml_parse
from shapely.geometry import MultiPolygon, Polygon, Point


def osm_getter(element_id, endpoint):
    assert endpoint in ('node', 'way', 'relation')
    OSM_API_URL = 'http://www.openstreetmap.org/api/0.6/{}/{}'

jboynyc

R. G. Collingwood, The Idea of Nature (Oxford: Clarendon Press, 1945).

Collingwood’s concern in this little book is to clarify the idea of nature as it underlies both natural science and philosophy. Saying that science is “based” on nature does not mean that the idea of nature is worked out first and all further scientific investigation proceeds from it. Rather, the conception of nature is subject to change along with scientific knowledge. Collingwood does not believe that there is one correct view of nature but rather seems to believe with Hegel that “the true is the whole,” that is, that the entire history of the concept and not just the “bottom line” of our modern

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import requests
try:
    from urllib.parse import urlencode
except ImportError:
    from urllib import urlencode


def reverse_geocode(lng, lat, zoom=18):
    OSM_API_URL = 'http://nominatim.openstreetmap.org/reverse?'
    _headers = {'User-Agent': 

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import os
import json
import igraph as ig


def ig_to_json(graph, path):
    assert isinstance(graph, ig.Graph)
    nodes = []
    edges = []

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import re
import requests
import pandas as pd
from xml.dom.minidom import parseString as xml_parse


MAP_URL = 'http://sintenpietengilde.nl/Kaart.html'
KML_OUT = 'sintenpietengilde_kaart.kml'
XLS_OUT = 'sintenpietengilde_kaart.xlsx'

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from bs4 import BeautifulSoup as bs

r = !curl -s 'https://example.net'
s = bs(''.join(r))

for link in s.findAll('a', {'href': lambda x: x.endswith('pdf')}):
    loc = link['href']
    !curl -O $loc

jboynyc

MULTIPOLYGON (((4.7567178999999999 52.3778378000000020, 4.7564339000000002 52.3777635000000000, 4.7569860000000004 52.3770463000000030, 4.7575304999999997 52.3761888000000010, 4.7580470000000004 52.3750653000000030, 4.7583805000000003 52.3740153000000030, 4.7585170000000003 52.3732593000000010, 4.7585676000000001 52.3727554000000030, 4.7585964000000001 52.3722175999999990, 4.7585747999999999 52.3715943999999990, 4.7585107999999998 52.3712412000000000, 4.7584413999999997 52.3709575999999970, 4.7579834999999999 52.3692393999999980, 4.7578265000000002 52.3687134999999980, 4.7567178999999999 52.3778378000000020)), ((4.7590846000000004 52.3807575000000010, 4.7590851000000001 52.3807377999999990, 4.7590902000000002 52.3805027000000010, 4.7590915000000003 52.3804415999999970, 4.7590922000000004 52.3804074000000030, 4.7590925999999998 52.3803957000000010, 4.7591020999999998 52.3800388000000010, 4.7591023999999997 52.3800254000000010, 4.7591028000000000 52.3800136999999990, 4.7591124999999996 52.3797112000000030, 4.75