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#!/usr/bin/env python3
# coding: utf-8
#
#    Copyright © Neoway Business Solutions
#
#    @project: Diário Oficial
#     @author: Manoel Vilela
#      @email: [email protected]
#

ufukhurriyetoglu

#A Collection of NLP notes

##N-grams

###Calculating unigram probabilities:

P( w_i ) = count ( w_i ) ) / count ( total number of words )

In english..

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#updated 5/7/17
import tkinter as tk
import re
import sqlite3
from collections import Counter
from string import punctuation
from math import sqrt
from time import sleep ##for delay realism
global B

ufukhurriyetoglu

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

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ufukhurriyetoglu

import os.path
import collections
from operator import itemgetter

WORDFILE = '/usr/share/dict/words'

class Autocorrect(object):
    """
    Very simplistic implementation of autocorrect using ngrams.
    """

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# List unique values in a DataFrame column
# h/t @makmanalp for the updated syntax!
df['Column Name'].unique()

# Convert Series datatype to numeric (will error if column has non-numeric values)
# h/t @makmanalp
pd.to_numeric(df['Column Name'])

# Convert Series datatype to numeric, changing non-numeric values to NaN
# h/t @makmanalp for the updated syntax!

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Regex for matching ALL Japanese common & uncommon Kanji (4e00 – 9fcf) ~ The Big Kahuna!
([一-龯])

Regex for matching Hirgana or Katakana
([ぁ-んァ-ン])

Regex for matching Non-Hirgana or Non-Katakana
([^ぁ-んァ-ン])

Regex for matching Hirgana or Katakana or basic punctuation (、。’)

ufukhurriyetoglu

#!/usr/bin/env python
"""
Example of using Keras to implement a 1D convolutional neural network (CNN) for timeseries prediction.
"""

from __future__ import print_function, division

import numpy as np
from keras.layers import Convolution1D, Dense, MaxPooling1D, Flatten
from keras.models import Sequential