View send_ebook_codes.py
# be sure to enable less secure apps in gmail | |
import smtplib | |
import ssl | |
from email.mime.text import MIMEText | |
def send_gmail(sender, password, receiver, subject, body): | |
"""Prepare and send a nicely formatted Gmail""" | |
msg = MIMEText(body) | |
msg["Subject"] = subject |
View covid19.py
# Check out https://ncov2019.live/data by Avi Schiffmann | |
# as featured in the Seattle Times at: | |
# https://www.seattletimes.com/seattle-news/education/qa-avi-schiffmann-the-washington-state-teen-behind-a-coronavirus-website-with-millions-of-views/ | |
from email.mime.text import MIMEText | |
import smtplib | |
import ssl | |
import sys | |
import stdiomask | |
from bs4 import BeautifulSoup |
View dynamic_dice_roller.py
import datetime | |
import random | |
import sys | |
from matplotlib import animation | |
import matplotlib.pyplot as plt | |
import seaborn as sns | |
def update(frame_number, rolls, faces, frequencies): | |
random.seed(datetime.datetime.now()) |
View language_analyzer.py
import nltk | |
from textblob import TextBlob | |
from textblob.sentiments import NaiveBayesAnalyzer | |
from textatistic import Textatistic | |
# This corpus is required for the Naive Bayes Analyzer | |
nltk.download("movie_reviews") | |
def main(): | |
user_text = get_user_text() |
View check_weather.py
# explore the Open Weather dot Org API at: https://openweathermap.org/api | |
from datetime import datetime | |
import requests | |
def main(): | |
# app_id will be specific to personal Open Weather acccount, 60 API calls per hour max | |
APP_ID = "#YourAppId" | |
# get zip code from user | |
zip_code = input("Enter a 5-digit, US zip code: ").strip() |
View profiler.py
import random | |
import timeit | |
TAX_RATE = .08 | |
txns = [random.randrange(100) for _ in range(10000000)] | |
def get_price(txn): | |
return txn * (1 + TAX_RATE) | |
def get_prices_with_map(): |
View countdown.py
import sys | |
from time import sleep | |
def countdown(seconds): | |
while seconds > -1: | |
mins, secs = divmod(seconds, 60) | |
formatted_time = f"{mins:02d}:{secs:02d}" | |
if seconds > 3: | |
print(formatted_time, end="\r") | |
else: |
View sentiment_analyzer.py
# This Python program quickly measures the polarity and subjectivity of a piece of text. | |
from time import sleep | |
from textblob import TextBlob | |
def print_header(): | |
print("*"*67) | |
print("PYTHON SENTIMENT TESTER (Powered by TextBlob)") | |
print() | |
print("POLARITY:") |
View secret_santa_pairing_program.py
# Step 1: Set up a Google form that collects First Name, Last Name, and Email Address from participants | |
# Step 2: Once all participants have completed the form, export it as a CSV file and store it in the same directory as this program | |
# Step 3: Run the program to create random Secret Santa gift-giving assignments so that each participant is paired with a different participant without duplication or anyone being left out | |
import csv | |
import datetime | |
import random | |
def main(): | |
participants = get_participants_from_csv("test_file.csv") |
View grade_multi_plot.py
# Corresponding CSV files exported from local SQL Engine. | |
import csv | |
from collections import Counter | |
import matplotlib.pyplot as plt | |
grades_102 = [] | |
grades_201 = [] | |
grades_206 = [] | |
grades_207 = [] |
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