AO8

import csv
import calendar
from collections import Counter
import matplotlib.pyplot as plt

# set up empty Counter objectS
months_counter = Counter()

# open and read CSV
with open("dashboard-export.csv") as f:

AO8

import re
from collections import Counter

def main():
    print_header()
    user_file = input("Enter the absolute path for your TXT file:\n\n")
    print()
    wc = get_word_counter(user_file)
    print()
    get_count_of_word(wc)

AO8

import csv
import sys
from collections import Counter, defaultdict
from datetime import datetime as dt
from decimal import Decimal
from time import sleep

# First import your purchases data from Amazon.com and store CSV
# file in the same directory as this program.
# Column names in CSV file for reference

AO8

# Auburn, WA Police Data CSV available at: https://data.auburnwa.gov/

import csv
import sys
from collections import Counter

# CSV headers for reference
# [0] CASENUMBER
# [1] OFFENSE
# [2] OFFENSETYPE

AO8

# Auburn, WA Police Data CSV available at: https://data.auburnwa.gov/

import csv
import sys
from collections import Counter
from datetime import datetime as dt

# Rows in CSV file for reference: 
# [0] CASENUMBER
# [1] OFFENSE

AO8

import random
import smtplib
import ssl
import sys
import textwrap
from email.mime.text import MIMEText
from datetime import datetime

def main():
    print_header()

AO8

import sys
from string import punctuation
import json
from nltk.corpus import cmudict

# load dict of words in corpus but not in cmudict
with open("missing_words.json") as f:
    missing_words = json.load(f)

cmudict = cmudict.dict()

AO8

# NLTK is a suite of libraries for working with human language data: http://www.nltk.org
# NLTK allows us to access the Carnegie Mellon University Prounouncing Dictionary (cmudict)
# cmudict is a corpus that contains almost 125,000 words mapped to their pronunciations.
# This tiny app was inspired by Lee Vaughn's Impractical Python Projects

import sys
from string import punctuation
from nltk.corpus import cmudict

# load corpus and build dictionary

AO8

import os

def load(name):
    """
    This method creates and loads a new journal.
    :param name: This base name of the journal to load.
    :return: A new journal data structure populated with file data.
    """
    data = []
    filename = get_full_pathname(name)

AO8

# Exercise completed as part of Erin Allard's Lynda.com course,
# 'Python Data Structures: Stacks, Queues, and Deques'

class Deque:
    """An ADT that resembles both a Stack (LIFO) and a Queue (FIFO).
    Items in a deque can be added to and removed from both the back
    and front.

    Don't reinvent the wheel. More simply, from collections import deque
    https://docs.python.org/3/library/collections.html#collections.deque