David Yanofsky yanofsky

## amount_of_black.py
import glob
from PIL import Image
import json

def calculate_black_stats():
	data = {}
	files = glob.glob("png/*.png")
	for f in files:
		year = f.split(".pdf")[0].split("__")[1]
		page = int(f.split("-")[1].split(".png")[0])

## quartzwebcam.sh
#!/bin/bash
#
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## BAA results dump
Place Overall  Place Gender	Place Division	Name	Bib	Half	Finish Net	Finish Gun	url
3284	3012	520	Aaberg, Thomas (USA)	6337	01:31:31	03:07:34	03:11:44		http://boston-iframe.r.mikatiming.de/2013/?content=detail&fpid=search&pid=search&idp=999999117A73260000086958&lang=EN&event=R
			Aaker, Aaron (USA)	2018					http://boston-iframe.r.mikatiming.de/2013/?content=detail&fpid=search&pid=search&idp=999999117A732600000889BD&lang=EN&event=R
4067	3686	686	Aalholm, Christopher (NOR)	6400	01:31:32	03:11:45	03:15:53		http://boston-iframe.r.mikatiming.de/2013/?content=detail&fpid=search&pid=search&idp=999999117A73260000089E91&lang=EN&event=R
9887	2607	1948	Aanonsen, Jacqueline (USA)	21345	01:39:14	03:35:11	03:38:16		http://boston-iframe.r.mikatiming.de/2013/?content=detail&fpid=search&pid=search&idp=999999117A7326000008981C&lang=EN&event=R

## tweet_dumper.py
#!/usr/bin/env python
# encoding: utf-8

import tweepy #https://github.com/tweepy/tweepy
import csv

#Twitter API credentials
consumer_key = ""
consumer_secret = ""
access_key = ""

## track_changes_anon.sh
#change the working directory to the Desktop
cd ~/Desktop

#unzip the word doc into a new directory called anonDocument
unzip myDocument.docx -d anonDocument/

#search all of the files in the word doc package and replace any comment or track changes author with anonymous edit
grep -rl "w:author" ./anonDocument | xargs sed -i '' 's/w:author="[a-zA-Z0-9 ]*"/w:author="anonymous edit"/g'

#change the working directory to the anonDocument directory

## index.html
<!DOCTYPE html>
<html>
<head>
  <meta http-equiv="Content-type" content="text/html; charset=utf-8">
	<title>Text bbox issue</title>

</head>
<style type="text/css" media="screen">
	@import url(http://fonts.googleapis.com/css?family=Cutive);
	svg text {

## perfectSP500.py
#!/usr/bin/env python
# encoding: utf-8

import sys
import os
import csv
import datetime

#define market holidays
marketHolidays = ["2013-01-21","2013-02-18","2013-03-29","2013-05-27","2013-07-04","2013-09-02","2013-11-28","2013-12-25"]

## index.html
<html>
<head>
	<title>Perfect sp 500 graphic</title>
	<script src="http://d3js.org/d3.v3.min.js" charset="utf-8"></script>
	<script src="http://www.datejs.com/build/date.js" charset="utf-8"></script>

</head>
<body>
	<style type="text/css">
		@font-face {

## jobsday_static_charts.sh

#download the data and save it as json for the overview via a python script
cd overview
python overview_scraper.py
cd ../sector

#download the data and save it as json for the sector info via python script
python sector_scraper.py
cd ..

## gif_maker.sh
# requirement! install imagemagick
# brew install imagemagick
# or build from source here http://www.imagemagick.org/script/binary-releases.php

#navigate to folder of the images
cd folderofmyimages/

# take every jpg in the folder and smash into a gif with a frame rate of 0.5 sec
convert -delay 50 *.jpg gif_of_my_images.gif