sglyon

#Set up data partition
sudo mkdir /data
sudo chmod 777 /data
sudo "echo /dev/xvdb   /data	ext4	rw,user,exec,comment=cloudconfig	0	2 >> /etc/fstab"
sudo mount /data

#Install build environment
sudo sed -i "s/enabled=0/enabled=1" /etc/yum.repos.d/epel.epo
sudo yum -y update
sudo yum -y upgrade

sglyon

##### Install a lot of stuff first #####

$sudo apt-get update

##install python 
$ wget http://09c8d0b2229f813c1b93-c95ac804525aac4b6dba79b00b39d1d3.r79.cf1.rackcdn.com/Anaconda-2.0.1-Linux-x86_64.sh
$ sudo bash anaconda........sh
 
##install necessary libs
$ sudo apt-get install -y python-matplotlib python-tornado ipython ipython-notebook python-setuptools python-pip

sglyon

#!/usr/bin/env python
"""
simple example script for running notebooks and reporting exceptions.

Usage: `checkipnb.py foo.ipynb [bar.ipynb [...]]`

Each cell is submitted to the kernel, and checked for errors.
"""

import os,sys,time

sglyon

################################################################################
# Copyright 2011
# Andrew Redd
# 11/23/2011
#
# Description of File:
# Makefile for knitr compiling
# 
################################################################################
all:pdf  # default rule DO NOT EDIT

sglyon

############################################################
## Using Genetic Algorithms in Quantitative Trading   
##
## [email protected] - Mar 2014
############################################################
library(PerformanceAnalytics)
library(rgenoud)
library(quantmod)
library(TTR)

sglyon

from bs4 import BeautifulSoup
from urllib2 import urlopen
from datetime import datetime, timedelta
from time import sleep
import sys
import csv

# CONSTANTS
ESPN_URL = "http://scores.espn.go.com"

sglyon

# Repeat an operation n times, e.g.
# @dotimes 100 println("hi")

macro dotimes(n, body)
  quote
    for i = 1:$(esc(n))
      $(esc(body))
    end
  end
end