dalitun

#!/bin/sh

# PROVIDE: ec2_fetchkey
# REQUIRE: NETWORKING
# BEFORE: LOGIN ec2_firstboot

# Define ec2_fetchkey_enable=YES in /etc/rc.conf and create /root/firstboot
# to enable SSH key fetching when the system next boots.
#
: ${ec2_fetchkey_enable=NO}

dalitun

# Ask for the user password
# Script only works if sudo caches the password for a few minutes
sudo true

# Install kernel extra's to enable docker aufs support
# sudo apt-get -y install linux-image-extra-$(uname -r)

# Add Docker PPA and install latest version
# sudo apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv-keys 36A1D7869245C8950F966E92D8576A8BA88D21E9
# sudo sh -c "echo deb https://get.docker.io/ubuntu docker main > /etc/apt/sources.list.d/docker.list"

dalitun

# Working with multiple stocks

"""
SPY is used for reference - it's the market
Normalize by the first day's price to plot on "equal footing"
"""

import os
import pandas as pd
import matplotlib.pyplot as plt

dalitun

#!/bin/bash
# note: this script is invoked automatically by rackspace-flasky.py

# save command line arguments
GMAIL_USERNAME=$1
GMAIL_PASSWORD=$2

# install web server dependencies
apt-get update
apt-get -y install python python-virtualenv nginx supervisor git

dalitun

#!/usr/bin/env python

import sys
import json
from neutronclient.v2_0 import client as neutronclient

authurl  = 'http://10.0.2.15:5000/v2.0'
username = 'demo'
password = 'pass'
tenantname = 'demo'

dalitun

mode = ENV["SPEC"] || "full"
require_relative "spec_helper_#{mode}"

dalitun

# Configure the settings to use to setup this Jenkins Executor
$Port = 80
$IPAddress = '192.168.1.96'
$SubnetPrefixLength = 24
$DNSServers = @('192.168.1.1')
$DefaultGateway = '192.168.1.1'

# Install .NET Framework 3.5
Install-WindowsFeature -Name NET-Framework-Core

dalitun

# Author: Kyle Kastner
# License: BSD 3-Clause
# Implementing http://mnemstudio.org/path-finding-q-learning-tutorial.htm
# Q-learning formula from http://sarvagyavaish.github.io/FlappyBirdRL/
# Visualization based on code from Gael Varoquaux [email protected]
# http://scikit-learn.org/stable/auto_examples/applications/plot_stock_market.html

import numpy as np
import matplotlib.pyplot as plt
from matplotlib.collections import LineCollection

dalitun

#!/bin/bash -uxe

VERSION=2.7.13.2713
PACKAGE=ActivePython-${VERSION}-linux-x86_64-glibc-2.3.6-401785

# make directory
mkdir -p /opt/bin
cd /opt

wget http://downloads.activestate.com/ActivePython/releases/${VERSION}/${PACKAGE}.tar.gz

dalitun

## NOTE:
## because this docker-compose.yml is designed to work with a remote docker-machine,
## all mounted volume paths are currently relative to /concourse-data, data is thus stored on the docker host

nginx:
  image: nginx
  container_name: nginx
  ports: 
     - "80:80"
     - "443:443"