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from datetime import datetime | |
from datetime import timedelta | |
diff_time_from_gmt = timedelta(minutes=330) | |
incoming = [] | |
with open('/home/thej/Desktop/my_incoming_calls.csv', 'rb') as csvfile: | |
spamreader = csv.reader(csvfile, delimiter='\t', quotechar='|') | |
for row in spamreader: | |
incoming.append( ( datetime.strptime(row[4], '%Y-%m-%d %H:%M:%S')+ diff_time_from_gmt )) |
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#[ ] http://stackoverflow.com/questions/8915296/python-image-library-fails-with-message-decoder-jpeg-not-available-pil | |
#[ ] http://datasciencelab.wordpress.com/2013/12/12/clustering-with-k-means-in-python/ | |
#[ ] https://gist.github.com/samuelclay/918751 | |
#[ ] http://charlesleifer.com/blog/using-python-and-k-means-to-find-the-dominant-colors-in-images/ | |
#[ ] http://0to255.com/5f8fbc | |
#[ ] http://stackoverflow.com/questions/3241929/python-find-dominant-most-common-color-in-an-image | |
from PIL import Image | |
from pylab import * | |
from scipy.misc import fromimage | |
import scipy |
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[ | |
{ | |
"id": "16954016022074178217-07321328812910646410-4", | |
"type": "GOOGLE_MAPS_ENGINE", | |
"source": { | |
"google_maps_engine": { | |
"sub_type": "VECTOR", | |
"vector_layer": { | |
"vector_layer_id": "o:ANVwnM25eNrId1vUCInJJfaac4PJYauAK2QkqSMDaslqaYldqQvn0Sem6dUjJf0a3JwtO_KMFh6KvYh4sodrgluf", | |
"layer_parameters": [ |
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Bst_ID | NAME | Ward_No | X | Y | |
---|---|---|---|---|---|
Blr_Bst000738 | Trinity Circle (Church) | 114 | 77.6198163125 | 12.9725111086 | |
Blr_Bst000352 | Philips (Ulsoor Lake) | 114 | 77.6215996446 | 12.9728166674 | |
Blr_Bst000354 | Binnamangala | 80 | 77.6403329619 | 12.9839499972 | |
Blr_Bst000358 | Benniganahalli | 57 | 77.6635162857 | 12.9941499969 | |
Blr_Bst000357 | Kaggadasapura Jn (Big Bazaar) | 57 | 77.6576162899 | 12.991299997 | |
Blr_Bst000136 | K. R. Puram Rlwy Station | 56 | 77.6768829361 | 13.0002166667 | |
Blr_Bst000792 | ITI Bus Stop | 55 | 77.6860829327 | 13.0055277744 | |
Blr_Bst000771 | Vannar Pete | 114 | 77.6210496447 | 12.9563333274 | |
Blr_Bst000740 | Passport Office | 147 | 77.6186496461 | 12.9461833275 |
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select density.stop, density.strength, lat,lng from ( select bs.busstop stop , count(bs.busstop) as strength from bus_route bs , timings t where t.route_no = bs.route_no group by bs.busstop ) as density, busstop s where s.name=density.stop order by density.strength desc; | |
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<!DOCTYPE html> | |
<html> | |
<head> | |
<title>Bangalore Maps</title> | |
<style> | |
#map { | |
width: 99%; | |
height: 500px; | |
} |
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return string.format("Hello, %s!", request.query.name or "World. Welcome to new world.") |
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https://twitter.com/geohacker/status/533201987563945984 | |
https://twitter.com/ajantriks/status/533225676774449152 | |
https://twitter.com/thej/status/533245978728738816 | |
https://twitter.com/thej/status/533246645140348928 | |
https://twitter.com/gkjohn/status/533257302988451840 | |
https://twitter.com/iotakodali/status/533271309136842752 | |
https://twitter.com/geohacker/status/533282550588772352 | |
https://twitter.com/geohacker/status/533434840121876480 | |
https://twitter.com/amitangshu/status/533455792951660544 | |
https://twitter.com/nasrhadi/status/533458934812934144 |
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"Thanks for checking us out" mapapp-b49fef0d.js:15 | |
"File bugs at https://github.com/mapillary/mapillary_issues" mapapp-b49fef0d.js:17 | |
"Error: data.nodes is undefined | |
LocalNavigator</LocalNavigator.prototype.moveFetch/</<@http://dga406zepc8gy.cloudfront.net/javascripts/mapapp-b49fef0d.js:11969 | |
t/</f[d]/q<@http://dga406zepc8gy.cloudfront.net/javascripts/lib-99552e38.js:307 | |
De/e/l.promise.then/J@http://dga406zepc8gy.cloudfront.net/javascripts/lib-99552e38.js:140 | |
De/f/<.then/<@http://dga406zepc8gy.cloudfront.net/javascripts/lib-99552e38.js:141 | |
Yd/this.$get</h.prototype.$eval@http://dga406zepc8gy.cloudfront.net/javascripts/lib-99552e38.js:152 | |
Yd/this.$get</h.prototype.$digest@http://dga406zepc8gy.cloudfront.net/javascripts/lib-99552e38.js:149 | |
Yd/this.$get</h.prototype.$apply@http://dga406zepc8gy.cloudfront.net/javascripts/lib-99552e38.js:152 |
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{ | |
"name": "Open Bangalore Weather Data", | |
"description": "Open Bangalore Weather Data", | |
"image": "", | |
"humanURL": "github.com/openbangalore/weather", | |
"copyright":{ | |
"holder":"Thejesh GN", | |
"type":"CC BY-SA 3.0", | |
"url":"https://creativecommons.org/licenses/by-sa/3.0/" | |
}, |
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