AO8’s gists

AO8 / sentiment_analyzer.py

Created October 30, 2019 20:05

This tiny Python app, powered by TextBlob, quickly measures the polarity and subjectiviy of a piece of text.

	# 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:")

AO8 / secret_santa_pairing_program.py

Last active October 30, 2019 20:52

Create random Secret Santa gift-giving assignments at the click of a button with Python 3.

	# 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")

AO8 / grade_multi_plot.py

Last active March 29, 2019 20:08

Plot multiple subplots within a single figure to visualize the shape of grade distribution in various IT courses with Python 3 and Matplotlib.

	# 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 = []

AO8 / month_analyzer_bar_plot.py

Created March 26, 2019 21:28

Fine-tuning matplotlib bar plot of Calendly appointment data. Ongoing Python 3 project.

	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 / txt_word_counter.py

Last active March 1, 2019 19:25

Another take on a simple word counter app with Python with some regex practice for good measure. Users enter a TXT file, specific a word to search, and the app returns the number of time that word occurs in the file

	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 / amazon_purchase_analyzer.py

Last active February 14, 2019 00:17

A simple Python 3 app to explore your Amazon.com purchase history CSV data.

	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 / crime_address_analyzer.py

Last active February 8, 2019 18:56

A quick program to analyze crime by reported address with Python 3 using local city crime data.

	# 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 / crime_analyzer.py

Last active February 7, 2019 17:31

Auburn, WA crime analyzer with Python 3. This small project provided an exercise in working with CSV files and open data from the City of Auburn.

	# 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 / get_dose_of_marcus.py

Last active January 17, 2019 23:17

Get a daily dose of Stoic thought from one of my favorite philosophers, Marcus Aurelius. If you like the quote you receive, you can email it to a friend. This small project is based in Python 3.6 and offered practice with basic File I/O and several Standard Library modules including MIMETEXT, SMTPLIB, SSL, and TEXTWRAP. Also getting more acquain…

	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 / count_syllables.py

Created January 14, 2019 16:36

Generate random haikus with Python, NLTK, and Markhov Chain Analysis. Includes the ability to email randomly generated haikus to yourself or a friend using Gmail and Python's built-in SMTP and Email modules. Adapted from chapters 8 and 9 of Lee Vaughan's Impractical Python Projects.

	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()

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