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View GitHub Profile
View 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 {
View 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"]
View 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 {
@yanofsky
yanofsky / track_changes_anon.sh
Created Aug 25, 2013
A script to anonymize a Word document's track changes.
View 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
@yanofsky
yanofsky / tweet_dumper.py
Last active Jan 13, 2020
A script to download all of a user's tweets into a csv
View 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 = ""
@yanofsky
yanofsky / BAA results dump
Created Apr 15, 2013
This is a dump of the 2013 Boston Marathon results as scraped at 3:50pm Eastern
View BAA results dump
This file has been truncated, but you can view the full file.
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
@yanofsky
yanofsky / quartzwebcam.sh
Created Dec 18, 2012
Quartz's Fiscal Cliff Webcam bash script
View quartzwebcam.sh
#!/bin/bash
#
#`````````````````````````````````````````````````````````````````````````````````````````````````````````````````````
#```````````***`````````````***```````***```````````***````````````******```````````************``````************````
#```````***********`````````***```````***``````````*****```````````**********```````************``````************````
#`````***`````````***```````***```````***`````````***`***``````````***`````***``````````***```````````````````***`````
#````***```````````***``````***```````***````````***```***`````````***``````***`````````***`````````````````***```````
#````***```````````***``````***```````***```````***`````***````````***********``````````***```````````````***`````````
#````***``````***`***```````***```````***``````*************```````*********````````````***``````````````***``````````
#`````***```````****`````````***`````***``````***************``````***````***```````````***````````````***````````````
@yanofsky
yanofsky / amount_of_black.py
Created Dec 14, 2012
The way I calculated the amount of printing, and number of lines, on every Form 1040 ever
View 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])
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