AO8’s gists

AO8 / cc_encrypt.py

Created March 3, 2018 23:55

Simple Caesar Cipher Python encryption function.

	import string
	from time import sleep

	alphabet = string.ascii_lowercase # "abcdefghijklmnopqrstuvwxyz"

	def encrypt():

	print("Welcome to Caesar Cipher Encryption.\n")
	message = input("Type a message you would like to encrypt: ").lower()
	print()

AO8 / encrypt_decrypt.py

Last active April 8, 2024 03:51

A Python encryption class for encrypting and decrypting messages.

	import string
	import random

	class Encryption():

	def __init__(self,seed):

	# Sets a random seed and a self.seed attribute
	random.seed(seed)
	self.seed = seed

AO8 / enrollment_counter.py

Last active March 23, 2018 18:30

Using Python to analyze data in CSV files from IE. Quantifies non-IT, IT, and STEPP enrollments generated by BAS-SD.

	import csv
	import os
	import re
	import send2trash

	def build_csv():
	"""iterate through CSV files in directory to create master enrollment_data.csv"""
	rows = []
	for filename in os.listdir("C:\\Users\\aorr\\Desktop\\GenEdData"):
	if filename.endswith(".csv"):

AO8 / ceasar_cipher.py

Last active October 24, 2024 00:43

A Python Ceasar Cipher to encrypt, decrypt, and brute-force decrypt messages.

	import string

	def encrypt(text, shift):

	encrypted_text = list(range(len(text)))
	alphabet = string.ascii_lowercase # 'abcdefghijklmnopqrstuvwxyz'
	first_half = alphabet[:shift]
	second_half = alphabet[shift:]
	shifted_alphabet = second_half + first_half

AO8 / gen_ed_counter.py

Last active February 23, 2018 20:22

Python program to analyze data from IE. Quantifies non-IT enrollments generated by BAS-SD for other departments on campus.

	# AO8
	# February 16, 2018

	import csv
	import os
	import re

	def build_csv():
	"""iterates through CSV files in directory to create master gen_ed_data.csv"""
	rows = []

AO8 / word_counter.py

Last active June 26, 2018 16:51

Another (more concise, more Pythonic) frequency word counter using collections.Counter.

	# collections.Counter docs at:
	# https://docs.python.org/3/library/collections.html#collections.Counter

	from collections import Counter
	import re

	with open("txt_file.txt", "r") as f:
	words = re.findall(r"\w+", f.read().lower())

	totals = Counter(words).most_common(50) # returns a list of tuples for the 50 most common words and their counts

AO8 / seating.py

Last active February 14, 2018 20:45

Model a theater exercise: ways to generate a list of (row, seat) tuples using Python list comprehensions.

	# --------
	# Option 1
	# --------
	def create_theater_seats(num_rows, num_seats):
	rows = [r for r in range(1, num_rows + 1)]
	seats = [s for s in range(1, num_seats + 1)]
	theater_seats = [(r,s) for r in rows for s in seats]
	return theater_seats

	create_theater_seats(2,3)

AO8 / index.html

Last active January 29, 2018 15:41

Sample HTML template that includes Google Analytics and jQuery.

	<!DOCTYPE html>
	<html lang="en">
	<head>
	<!--Defines the web page's title-->
	<title></title>
	<!--Defines the character set used-->
	<meta charset="utf-8">
	<!--Provides a description of your web page-->
	<meta name="description" content="">
	<!--Defines keywords for search engines-->

AO8 / data_structures.py

Last active January 22, 2018 21:19

Quick recipes for implementing Stacks, Queues, and Linked Lists in Python.

	# with inspiration from Kojin @ Harvard

	class Stack:
	"""for creating a LIFO data structure"""
	def __init__(self):
	self.items = []

	def size(self):
	return len(self.items)

AO8 / dow_jones_csv_tracker.py

Last active January 16, 2018 23:00

Another simple Dow Jones tracker that scrapes a website and writes data to a CSV file using Python 3 and Beautiful Soup.

	import urllib.request
	import csv
	import re
	from bs4 import BeautifulSoup
	from datetime import datetime as dt

	dow_jones_page = "https://www.bloomberg.com/quote/INDU:IND"
	html = urllib.request.urlopen(dow_jones_page)
	soup = BeautifulSoup(html, "html.parser")

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