sloria

title: Bacon Ipsum
date: 2013-07-14 12:00:00

Bacon ipsum dolor sit amet ball tip tongue pancetta jowl sirloin rump. Chuck tail pork cow, fatback jerky hamburger pancetta leberkas pig .

[Read more](http://baconipsum.com/)

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{% extends "base.html" %}
{% block content %}
<h1>{{ page.meta.title }}</h1>
<p>{{ page.meta.date }}</p>
{{ page }}
{% endblock %}

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$ python freeze.py
$ git init
$ git add . --all
$ git commit -am "Initial commit"
$ git checkout -b gh-pages
$ git remote add origin https://github.com/username/flask-ghpages-example.git
$ git push origin --all

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#!/usr/bin/env python
from flask import Flask, jsonify, request, render_template, abort
from text.blob import TextBlob
from text.utils import strip_punc

app = Flask(__name__)

##### TextBlob API #####
@app.route("/api/sentiment", methods=['POST'])
def sentiment():

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from text.classifiers import NaiveBayesClassifier

train = [
    ('I love this sandwich.', 'pos'),
    ('This is an amazing place!', 'pos'),
    ('I feel very good about these beers.', 'pos'),
    ('This is my best work.', 'pos'),
    ("What an awesome view", 'pos'),
    ('I do not like this restaurant', 'neg'),
    ('I am tired of this stuff.', 'neg'),

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#!/usr/bin/env python
# -*- coding: utf-8 -*-
import string
from text.blob import Blobber
from text.taggers import PerceptronTagger, PatternTagger, NLTKTagger

def accuracy(test_set, tagger):
    n_correct = 0
    total = 0
    tb = Blobber(pos_tagger=tagger)

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{
	// Color
	"color_scheme": "Packages/Theme - Nil/Big Duo.tmTheme",
	"theme": "Nil.sublime-theme",
	// Font
	"font_face": "Ubuntu Mono",
	"font_options": ["subpixel_antialias"],
	"font_size": 15.0,
	// Caret
	"caret_style": "phase",

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{
	"auto_complete_selector": "source - comment, meta.tag - punctuation.definition.tag.begin",
	"auto_complete_triggers":
	[
		{
			"characters": "$",
			"selector": "source.coffee, source.js, source.js.embedded.html"
		}
	],
	"bold_folder_labels": true,

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from textblob.classifiers import NaiveBayesClassifier

train = [
    ('amor', "spanish"),
    ("perro", "spanish"),
    ("playa", "spanish"),
    ("sal", "spanish"),
    ("oceano", "spanish"),
    ("love", "english"),
    ("dog", "english"),

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# Even better

def lazy_property(fn):
    '''Decorator that makes a property lazy-evaluated.
    '''
    attr_name = '_lazy_' + fn.__name__

    @property
    def _lazy_property(self):
        if not hasattr(self, attr_name):