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#!/usr/bin/python | |
# | |
# (originally entered at https://gist.github.com/1035399) | |
# | |
# License: GPLv3 | |
# | |
# To download the AFINN word list do: | |
# wget http://www2.imm.dtu.dk/pubdb/views/edoc_download.php/6010/zip/imm6010.zip | |
# unzip imm6010.zip | |
# |
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import string | |
import collections | |
from nltk import word_tokenize | |
from nltk.stem import PorterStemmer | |
from nltk.corpus import stopwords | |
from sklearn.cluster import KMeans | |
from sklearn.feature_extraction.text import TfidfVectorizer | |
from pprint import pprint |
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<html> | |
<title> | |
SQLite Example | |
</title> | |
<body> | |
<FORM ACTION="/create" METHOD=POST> | |
Name: <input type="text" name="name"> | |
Marks: <input type="text" name="marks"> |
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{% macro form_field(field) -%} | |
{% set with_label = kwargs.pop('with_label', False) %} | |
{% set placeholder = '' %} | |
{% if not with_label %} | |
{% set placeholder = field.label.text %} | |
{% endif %} | |
<div class="control-group {% if field.errors %}error{% endif %}"> | |
{% if with_label %} | |
<label for="{{ field.id }}" class="control-label"> | |
{{ field.label.text }}{% if field.flags.required %} *{% endif %}: |
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{%- macro form_field_label(field) -%} | |
<label for="{{ field.id }}">{{ field.label.text }} | |
{%- if field.flags.required -%} | |
<abbr title="Diese Feld muss angegeben werden">*</abbr> | |
{%- endif %}</label> | |
{% endmacro %} | |
{%- macro form_field_description(field) -%} | |
{% if field.description %} | |
<span class="descr">{{ field.description }}</span> |
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# Torndb is a very thin wrapper around MySQLdb that makes it even easier to use MySQL. | |
# Because it is very light, one can just go through the one-file python source | |
# to learn how to use it. | |
# Installation: pip install torndb | |
# Official doc: http://torndb.readthedocs.org/en/latest/ | |
# Source: https://github.com/bdarnell/torndb/blob/master/torndb.py | |
from torndb import Connection |
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""" | |
Usage: python remove_output.py notebook.ipynb [ > without_output.ipynb ] | |
Modified from remove_output by Minrk | |
""" | |
import sys | |
import io | |
import os | |
from IPython.nbformat.current import read, write |
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#!/usr/bin/env python | |
from pocket import Pocket | |
import webbrowser, sys | |
# Get consumer key from cmd line | |
consumer_key = sys.argv[1] | |
request_token = Pocket.get_request_token( | |
consumer_key=consumer_key, |
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import nltk | |
with open('sample.txt', 'r') as f: | |
sample = f.read() | |
sentences = nltk.sent_tokenize(sample) | |
tokenized_sentences = [nltk.word_tokenize(sentence) for sentence in sentences] | |
tagged_sentences = [nltk.pos_tag(sentence) for sentence in tokenized_sentences] | |
chunked_sentences = nltk.batch_ne_chunk(tagged_sentences, binary=True) |
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// Word cloud layout by Jason Davies, http://www.jasondavies.com/word-cloud/ | |
// Algorithm due to Jonathan Feinberg, http://static.mrfeinberg.com/bv_ch03.pdf | |
(function(exports) { | |
function cloud() { | |
var size = [256, 256], | |
text = cloudText, | |
font = cloudFont, | |
fontSize = cloudFontSize, | |
rotate = cloudRotate, | |
padding = cloudPadding, |