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| import urllib | |
| start = 0 | |
| base_url = 'http://export.arxiv.org/api/query?'; | |
| search_query = 'all:electron' | |
| max_results = int(raw_input("Enter max result count: ")) | |
| query = 'search_query=%s&start=%i&max_results=%i' % (search_query, | |
| start, | |
| max_results) | |
| response = urllib.urlopen(base_url+query).read() | |
| import feedparser |
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| import untangle | |
| data = untangle.parse('dblp.xml') |
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| from pyes import * | |
| conn = ES('localhost:9200') | |
| q = TermQuery("id","0712.1111v1") | |
| results = conn.search( query = q) | |
| results? | |
| results?? | |
| results | |
| for r in results: | |
| print r | |
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| f = open('_User.json','rb') | |
| import json | |
| data = json.loads(f.read()) | |
| f.close() | |
| data | |
| data[0] | |
| data.keys() | |
| data['results'][0] | |
| data['results'][0].keys() | |
| from pyes import * |
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| f = open('_User.json','rb') | |
| import json | |
| data = json.loads(f.read()) | |
| f.close() | |
| data | |
| data[0] | |
| data.keys() | |
| data['results'][0] | |
| data['results'][0].keys() | |
| from pyes import * |
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| import os | |
| filenames = os.listdir('./_User_sharded/') | |
| f = open('mongo_upload','wb') | |
| f.write('#!/bin/bash\n') | |
| f.write('cd ./_User_sharded/\n') | |
| for filename in filenames: | |
| cmd = ['mongoimport','--db','takezero_raw','--collection','users','--file',filename] | |
| f.write(' '.join(cmd) + "\n") |
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| from PIL import Image | |
| fi = Image.open('f23bf11c-aa22-419b-855b-ab0b9f1f5cb3-SRV_0122.jpg') | |
| fi.size() | |
| fi.size | |
| fi = Image.open('bd654b14-87a5-4ff3-868f-bd72b5121c49-IMG_9941.jpg') | |
| fi.size | |
| 5184.0/3456 | |
| 3456.0/5184 | |
| float(1024*3456) / 5184 | |
| fi.resize((1024,683), Image.ANTIALIAS) |
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| import json | |
| data = json.loads('_User.json','rb') | |
| data = json.load('_User.json','rb') | |
| data = json.load(open('_User.json','rb').read()) | |
| data = json.loads(open('_User.json','rb').read()) | |
| data | |
| ls | |
| data['results'].keys() | |
| data['results'] | |
| data['results'][0] |
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| import json | |
| data = json.loads(open('_User.json','rb').read()) | |
| data | |
| data['results'][0] | |
| data['results'][23] | |
| name = 'fc336b02-47e5-4a11-ba38-59e60da3dfe7-yusuf done.png" | |
| name = 'fc336b02-47e5-4a11-ba38-59e60da3dfe7-yusuf done.png' | |
| name.split() | |
| '%20'.join(name.split()) | |
| data['results'][0] |
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| import csv | |
| reader = csv.reader(open('1.csv', 'rb'), delimiter=',', quotechar='"') | |
| d = {} | |
| for row in reader: | |
| d[row[0]] = row[1] | |
| temp_list1 = d.keys() | |
| set(temp_list1) & set(temp_list2) | |
| common_Hz = set(temp_list1) & set(temp_list2) | |
| for fq in common_Hz: |