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Oh no ... out of Union Hand-Roasted coffee ! If you 've tasted it , you 'd kno | |
ally ... but it takes ages ... need coffee ! : ~ ) Is it just me or is Steve J | |
se : a duplicate Union Hand-Roasted coffee order , and they said I can keep it | |
ate sent me some of his own roasted coffee ... i 'll bring some into the offic | |
cafe in Amsterdam with free wi-fi , coffee I can just about taste and brillian | |
r commute ... think I 'll find more coffee ... @ kiyanwang @ mmmmmrob : surely | |
d David Eddings ? ? ? Blogged about coffee and online presentation apps : www. | |
e some espresso to celebrate ... my coffee arrived this AM too ... good day , | |
t had theological discussion by the coffee maker ... it kind of ties in with e | |
slow and body 's slow ... drank lst coffee too ... new blog post , bit weak th |
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Linked Data; 've got; lol ...; sounds like; looks like; n't know; | |
Looking forward; New Post; Looks like; last night; Nice one; Sounds | |
like; looking forward; bloody hell; Semantic Web; etc ...; Open Day; | |
blog post; n't think; Good luck |
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Building ngram index... | |
I 'm simple-minded like that. You 're filling my inbox : 1 ) follow @ | |
talis and one in Stony Stratford , IIRC. I 'm a huge discussion about | |
schema less data and semantics at # okfest ! @ RevRichardColes : It | |
works on mobile ? @ derivadow I wonder whether they 're bad. It 's | |
ugly : `` I 'm planning to attend a bootcamp on data models ... Wonder | |
whether cafes would be good if there is too , I 'm speaking about # | |
kasabi Sending prizes from to hackers ? It is a fucking shame it died. |
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from nltk import * | |
from nltk.corpus import stopwords | |
filename = 'tweets.txt' | |
def txt_to_nltk(filename): | |
raw = open(filename, 'rU').read() | |
tokens = word_tokenize(raw) | |
words = [w.lower() for w in tokens] | |
vocab = sorted(set(words)) |
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#!/usr/bin/python | |
# -*- coding: utf-8 -*- | |
import nltk | |
from nltk.corpus import stopwords | |
from collections import Counter | |
stops = stopwords.words('english') | |
ipsem = """ |
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//jsonData contains data in the appropriate format | |
var json_table = new google.visualization.Table(document.getElementById('table_div_json')) var json_data = new google.visualization.DataTable(jsonData, 0.6); | |
json_table.draw(json_data, { | |
showRowNumber: true | |
}); |
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grades = [100, 100, 90, 40, 80, 100, 85, 70, 90, 65, 90, 85, 50.5] | |
def print_grades(grades): | |
for grade in grades: | |
print grade | |
def grades_sum(grades): | |
total = 0 |
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score = {"a": 1, "c": 3, "b": 3, "e": 1, "d": 2, "g": 2, | |
"f": 4, "i": 1, "h": 4, "k": 5, "j": 8, "m": 3, | |
"l": 1, "o": 1, "n": 1, "q": 10, "p": 3, "s": 1, | |
"r": 1, "u": 1, "t": 1, "w": 4, "v": 4, "y": 4, | |
"x": 8, "z": 10} | |
def scrabble_score(word): | |
word = word.lower() | |
tally = 0 |
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def anti_vowel(text): | |
vowels = ["A", "a", "E", "e", "I", "i", "O", "o", "U", "u"] | |
anti = [] | |
for i in text: | |
if i in vowels: | |
pass | |
else: | |
anti.append(i) | |
return "".join(anti) |
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Beauvais dit Saint-Joseph, Joseph-Xavier. Soldat au régiment de Languedoc, compagnie de Vaudray en 1755, engagé le 5 mai 1753 comme soldat dans la compagnie de Vaudray. Il est né le 14 mai 1730 à Champagnole (St-Cyr-et-Ste-Juliette), Jura, fils de Jacques Beauvais et Anne-Marie Roussout. Il épouse Josephte Desnoyers le 21 février 1757 à Chambly. Il décède à Chambly le 26 avril 1804. Notes : Charactéristiques physiques : 5 pieds et 2 pouces, les cheveaux et sourcils châtains, les yeux gris bleu, le nez et la bouche petite, le visage plein, une cicatrice à côté de l'œil droit. (239) |