antonrasmussen

"""
Helper functions for creating frequent item sets using the Apriori algorithm.
"""

def createC1(dataset):
    "Create a list of candidate item sets of size one."
    c1 = []
    for transaction in dataset:
        for item in transaction:
            if not [item] in c1:

antonrasmussen

#!/bin/sh
home_dir="./fall22-hw2-antonrasmussen/"
search_term_array=("virginia" "beach" "coronavirus" "dall-e" "openai")
cd $home_dir
for search_term in "${search_term_array[@]}"
do
    /opt/homebrew/bin/python3 $home_dir/collect-tweets.py $search_term
    /opt/homebrew/bin/python3 $home_dir/process-tweets.py < tweets.jsonl > tweets-info.txt
    
    link_pref="https:/"

antonrasmussen

from bs4 import BeautifulSoup
from urllib.request import urlopen
import time


html_doc = "Dispatches — WTF with Marc Maron Podcast.html"

date_list = []
url_list = []

antonrasmussen

Create a Chrome search shortcut for your GitHub Repo

Thanks to David Winterbottom (@codeinthehole). See https://twitter.com/codeinthehole/status/1346774847221870593

Instructions

1. Open Chrome > Settings
2. Search "manage search engines" and click into it

antonrasmussen

#!/usr/bin/python
import sys
import datetime

# Calculates death probabilities based on Social Security
# actuarial tables for a given group of people.

# Run with a list of ages/genders and an optional timespan (or year in the future):

# python actuary.py 63m 80m 75f 73m 10