sloria

The Best of the Best Practices (BOBP) Guide for Python

A "Best of the Best Practices" (BOBP) guide to developing in Python.

In General

Values

• "Build tools for others that you want to be built for you." - Kenneth Reitz
• "Simplicity is alway better than functionality." - Pieter Hintjens

sloria

{
	// 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",

sloria

#!/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)

sloria

sloria

import math
from text.blob import TextBlob as tb

def tf(word, blob):
    return blob.words.count(word) / len(blob.words)

def n_containing(word, bloblist):
    return sum(1 for blob in bloblist if word in blob)

def idf(word, bloblist):

sloria

from textblob.classifiers import NaiveBayesClassifier

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

sloria

import random
from nltk.corpus import movie_reviews
from textblob.classifiers import NaiveBayesClassifier
random.seed(1)

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'),

sloria

from textblob.classifiers import NaiveBayesClassifier
from textblob import TextBlob

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'),

sloria

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'),

sloria

Works well with sloria's cookiecutter-pypackage template.

• Update HISTORY.rst
• Update version number in my_project/__init__.py
• Run the tests:

git checkout dev
python setup.py test
tox