AO8

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

class Queue:
    """An ADT that stores items in the order in which they
    were added. Items are added to the back and removed
    from the front - FIFO.
    """
    def __init__(self):
        self.items = []

AO8

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

class Stack:
    """An ADT that stores items in the order in which they were
    added. Items are added to and removed from the top of the   
    stack - LIFO.
    """
    def __init__(self):
        self.items = []

AO8

# Screen scraping information from Weather Underground at https://www.wunderground.com/ is for
# example purposes only. Try the Weather Underground API at https://www.wunderground.com/weather/api
# Project adapted from Michael Kennedy's Python Jumpstart by Building 10 Apps course

# Standard Library
from collections import namedtuple
# Third Party
import requests
from bs4 import BeautifulSoup

AO8

import smtplib
import ssl
from email.mime.text import MIMEText

sender = "sender@gmail.com"
receiver = "recipient@domain.com"
password = input("Enter password: ")

text = """\
Hi!

AO8

# Learn more about the ICNDb API at: http://www.icndb.com/api/
# Learn more about the Requests library at: http://docs.python-requests.org/en/master/

import requests

def get_joke():
  """fetches and prints a random joke"""
  url = "http://api.icndb.com/jokes/random"
  resp = requests.get(url)
  resp.encoding = "utf-8"

AO8

# To start, set up a Google form that collects
# first name, last name, and email address from participants,
# then export as a CSV file and store it in the same
# directory as this program
# also, enable less secure apps in gmail before running
# https://support.google.com/accounts/answer/6010255?hl=en

import csv
import smtplib
from random import shuffle

AO8

# Stopwatch recipe taken from Python Cookbook, 3rd Edition, by David Beazley and Brian K. Jones.
# Page 561: "As a general rule of thumb, the accuracy of timing measurements made with functions
# such as time.time() or time.clock() varies according to the operation system. In contast,
# time.perf_counter() always uses the highest-resolution timer available on the system."

import time

class Timer:
    def __init__(self, func=time.perf_counter):
        self.elapsed = 0.0

AO8

import csv
from datetime import datetime
from collections import OrderedDict
import matplotlib.pyplot as plt

# set up empty containers
total = 0
months = dict()

# open and read CSV

AO8

import csv
from statistics import mean

# set up empty dict containers
associate_type = dict() # row 6
associate_from = dict() # row 7
maths = dict() # row 14
advisors = dict() # row 15

# set up empty list containers

AO8

from picamera import PiCamera, Color
from time import sleep
from datetime import datetime as dt

with PiCamera() as camera:

    camera.rotation = 180 # omit or use 90, 180, 270 depending on setup
    camera.annotate_background = Color("black")
    start = dt.now()
    camera.start_preview()