asaaki

.highlight         { background-color: #49483e }
.c                 { color: #75715e }                            /* Comment                     */
.err               { color: #960050; background-color: #1e0010 } /* Error                       */
.k                 { color: #66d9ef }                            /* Keyword                     */
.l                 { color: #ae81ff }                            /* Literal                     */
.n                 { color: #f8f8f2 }                            /* Name                        */
.o                 { color: #f92672 }                            /* Operator                    */
.p                 { color: #f8f8f2 }                            /* Punctuation                 */
.cm                { color: #75715e }                            /* Comment.Multiline           */
.cp                { color: #75715e }                            /* Comment.Preproc             */

jaymcgavren

Description

Heroku is a simple way to publish your Rails app, and a powerful platform that will allow it to scale. In this episode, Jay McGavren gets you started with your first Heroku app.

Set up your Rails app

Isolate your gem environment

• You WANT Rails to fail locally if a gem isn't in your Gemfile

olasitarska

# -*- coding: utf-8 -*-
"""
Builds epub book out of Paul Graham's essays: http://paulgraham.com/articles.html

Author: Ola Sitarska <ola@sitarska.com>
Copyright: Licensed under the GPL-3 (http://www.gnu.org/licenses/gpl-3.0.html)

This script requires python-epub-library: http://code.google.com/p/python-epub-builder/
"""

rweald

#Code taken from SO
#http://stackoverflow.com/questions/8751497/latitude-longitude-coordinates-to-state-code-in-r/8751965#8751965

library(sp)
library(maps)
library(maptools)

# The single argument to this function, pointsDF, is a data.frame in which:
#   - column 1 contains the longitude in degrees (negative in the US)
#   - column 2 contains the latitude in degrees

glamp

galton <- read.csv("http://blog.yhathq.com/static/misc/galton.csv",
                    header=TRUE, stringsAsFactors=FALSE)
summary(galton)
#     child          parent    
# Min.   :61.7   Min.   :64.0  
# 1st Qu.:66.2   1st Qu.:67.5  
# Median :68.2   Median :68.5  
# Mean   :68.1   Mean   :68.3  
# 3rd Qu.:70.2   3rd Qu.:69.5  
# Max.   :73.7   Max.   :73.0  

avalonalex

# Thanks to this post:
# http://blog.ikato.com/post/15675823000/how-to-install-consolas-font-on-mac-os-x

$ brew install cabextract
$ cd ~/Downloads
$ mkdir consolas
$ cd consolas
$ curl -O http://download.microsoft.com/download/f/5/a/f5a3df76-d856-4a61-a6bd-722f52a5be26/PowerPointViewer.exe
$ cabextract PowerPointViewer.exe
$ cabextract ppviewer.cab

FrozenQuant

Faber Strategy Monitor
========================================================

This post was created in R using Markdown and posted directly to WordPress.  It creates a table of data and a set of price charts for tracking funds used in Mebane Faber's trend following strategy.  Data is gathered from Yahoo Finance using the API in the **quantmod** package, then rendered into a web page using RStudio and  [***knitr***](http://yihui.name/knitr/), with the help of **googleVis** and **ggplot2**.  

This particular implementation of the Faber strategy comes from his book *The Ivy Portfolio*.  The program is to invest in a broad array of markets and buy individual ETFs when the price of the ETF exceeds its 10-month moving average and sell when it goes below.  This particular example uses ten ETFs, two in each major category (as shown in Table 9.2 of *The Ivy Portfolio*).  

The table shows some basic information about each ETF, the current price versus the 10-month SMA, and the same price/SMA data as of the prior m

evanmiller

{
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  "language": "Julia",
  "name": ""
 },
 "nbformat": 3,
 "nbformat_minor": 0,
 "worksheets": [
  {
   "cells": [

ayman

# Type 0: stacked area, 1: themeriver, 2: streamgraph
areaGraph <- function(thedata, type=2, smooth=TRUE) {	
    ## Color palette
    nColors <- 15
    ## pal <- colorRampPalette(c("#0f7fb4", "#e2e2e2"))
    ## pal <- colorRampPalette(c("#6364a9", "#e2e2e2"))  # Purple
    pal <- colorRampPalette(c("#48611d", "#f0f0f0"))
    colors <- pal(nColors)
    weights <- rowSums(thedata)
    ## Sort the data

ceteri

$ ./bin/spark-shell
14/04/18 15:23:49 INFO spark.HttpServer: Starting HTTP Server
14/04/18 15:23:49 INFO server.Server: jetty-7.x.y-SNAPSHOT
14/04/18 15:23:49 INFO server.AbstractConnector: Started SocketConnector@0.0.0.0:49861
Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /___/ .__/\_,_/_/ /_/\_\   version 0.9.1
      /_/