Brandon-Rozek

#!/bin/env python

from argparse import ArgumentParser
from urllib import request
from urllib.parse import urlparse
import sys

parser = ArgumentParser(description="Request Internet Archive to save the site")
parser.add_argument("URL", type=str, help="URL to save")
parser.add_argument("-s", action='store_true', help="Silent. Makes output less verbose")

Brandon-Rozek

openpgp4fpr:5F37830BFA46FF7881F47AC78DF79C3DC5FC658A

Brandon-Rozek

"""
Tool to grab list of photo information (URLs/etc) of
images in Google Photos album.
Adapted from Matthieu Bessat
https://github.com/lefuturiste/google-photos-album-crawler/blob/f33026d379058912c597d5802296b55b62ed27a4/src/Crawler.php
"""
import json
import re
import sys
from http.client import HTTPResponse

Brandon-Rozek

library(shiny)
library(dplyr)
library(ggplot2)
library(GGally)
library(ggthemr)
library(gapminder)

gapminder_mediangdp = gapminder %>%
    group_by(year, continent) %>%
    summarize(medianGdp = median(gdpPercap))

Brandon-Rozek

// Addition & subtraction are independent implementations
var add = function(x, y) {
  if (y == 0) {
    return x;
  }
  if (y < 0) {
    return add(x - 1, y + 1);
  }
  return add(x + 1, y - 1);
}

Brandon-Rozek

package main

import (
  "fmt"
  "math"
  "math/rand"
  "time"
)

// Returns the number of successes, to approx pi use formula

Brandon-Rozek

#include <stdio.h>
#include <math.h>

int isPrime(unsigned long long n);

int main() {
	printf("%d", 2);
	unsigned long long i = 3;
	while (1) {
		if (isPrime(i)) {

Brandon-Rozek

var decay = function(initial, chance) {
	var numDecayed = 0;
	for (var i = 0; i < initial; i++) {
		if (Math.random() < chance) {
			numDecayed++
		}
	}
	return numDecayed;
}

Brandon-Rozek

#include <stdio.h>
#include <stdlib.h>
#include <time.h>

//Amount of times for simulation to run
#define N 5000000
//The amount of times per simulation
#define R 1
//The amount of choices
#define C 4

Brandon-Rozek

import numpy as np

class SymmetricElement:
    def __init__(self, *args):
        self.data = np.array(list(args), dtype=np.int64)
        # Confirm that there is at least one mapping
        assert len(self.data) > 0
        # Check bijective
        assert len(np.unique(self.data)) == len(self)
        # Check that range is between 1-length