sam hokie-sam

## light-dark-theme.html
<!DOCTYPE html>
<html>
	<style>

		/* By making the light/dark buttons 30px squares,
    they will not need text labels,
		but they'll still be large enough to easily click. */
		.light-dark-button {
			border-style: solid;
			border-color: blue;

## tariff_viz.R
library(ggplot2)
library(reshape2)
library(dplyr)

# First, we need to get the data from the World Bank website.
# I am using the "weight mean of tariffs applied on manufactored
# products". The .csv file is below, but here is the url...
# https://data.worldbank.org/indicator/TM.TAX.MANF.WM.AR.ZS

wbt <- read.csv(file = 'C://your//file//path//wb_tariff.csv', header = T, stringsAsFactors = F)

## bitmex_bot.py
import requests
import uuid
import time
import json
from random import *
import hmac
import hashlib
import urllib3
import urllib.parse
from urllib.parse import urlparse

## orderviz.py
import math

def vizOr():
    '''
    The buy orders are shown as a plus (+) sign,
    the sell orders are shown as a minus (-) sign.
    Obviously, you would want to provide a live
    market price and list of your orders to the
    function.
    '''

## timestamp2unixtime.py
import time
from datetime import datetime

# It took me a while to figure out to convert
# a string timestamp to the number of seconds
# since the Unix epoch. Turns out it is pretty
# simple.
# Note: it only works for years >= 1900

my_td_string = 'Date: 2018-01-19  Time: 06:35:30.123'

## twitterbot_api.py
import requests
import json
from requests.auth import AuthBase
from requests_oauthlib import OAuth1
from requests_oauthlib import OAuth1Session

# This is very simple code to start a simple Twitter bot.
# At the moment, this is only for posting tweets to your
# page. Twitter offers additional actions (Liking, Replying,
# Retweeting, etc) on their (confusing) developer website.
	<!DOCTYPE html>
	<html>
	<style>

	/* By making the light/dark buttons 30px squares,
	they will not need text labels,
	but they'll still be large enough to easily click. */
	.light-dark-button {
	border-style: solid;
	border-color: blue;
	library(ggplot2)
	library(reshape2)
	library(dplyr)

	# First, we need to get the data from the World Bank website.
	# I am using the "weight mean of tariffs applied on manufactored
	# products". The .csv file is below, but here is the url...
	# https://data.worldbank.org/indicator/TM.TAX.MANF.WM.AR.ZS

	wbt <- read.csv(file = 'C://your//file//path//wb_tariff.csv', header = T, stringsAsFactors = F)
	import requests
	import uuid
	import time
	import json
	from random import *
	import hmac
	import hashlib
	import urllib3
	import urllib.parse
	from urllib.parse import urlparse
	import math

	def vizOr():
	'''
	The buy orders are shown as a plus (+) sign,
	the sell orders are shown as a minus (-) sign.
	Obviously, you would want to provide a live
	market price and list of your orders to the
	function.
	'''
	import time
	from datetime import datetime

	# It took me a while to figure out to convert
	# a string timestamp to the number of seconds
	# since the Unix epoch. Turns out it is pretty
	# simple.
	# Note: it only works for years >= 1900

	my_td_string = 'Date: 2018-01-19 Time: 06:35:30.123'
	import requests
	import json
	from requests.auth import AuthBase
	from requests_oauthlib import OAuth1
	from requests_oauthlib import OAuth1Session

	# This is very simple code to start a simple Twitter bot.
	# At the moment, this is only for posting tweets to your
	# page. Twitter offers additional actions (Liking, Replying,
	# Retweeting, etc) on their (confusing) developer website.