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#/usr/bin/env bash

set -e
set -x

apt-get update
apt-get upgrade

apt-get -y install build-essential curl git-core openssl libreadline6 libreadline6-dev \
  zlib1g zlib1g-dev libssl-dev libyaml-dev libsqlite3-0 libsqlite3-dev sqlite3 libxml2-dev \

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var gulp = require('gulp');
var connect = require('gulp-connect');
var modRewrite = require('connect-modrewrite');
var runSequence = require('run-sequence');
var shell = require('gulp-shell');

//proxy all requests to /api to localhost:3000 for rails api
gulp.task('connect', function(){
	connect.server({
		root: './app',

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#!/bin/bash                                                                                                                                                                                       [0/0]
set -Ceu

for c in $(brew cask list); do
    info=$(brew cask info $c)
    installed_ver=$(echo "$info" |awk 'NR==1' |cut -d" " -f 2)
    current_ver=$(echo "$info" |awk 'NR==3' | cut -d" " -f 1 | rev |cut -d"/" -f 1| rev)
    if [ "$current_ver" == "latest" ]; then
        echo "$c is installed '$installed_ver', current is '$current_ver'"
        echo -n "upgrade?[y/n]>"

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"""
以下の論文で提案された改良x-means法の実装

クラスター数を自動決定するk-meansアルゴリズムの拡張について
http://www.rd.dnc.ac.jp/~tunenori/doc/xmeans_euc.pdf
"""

import numpy as np
from scipy import stats
from sklearn.cluster import KMeans

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#include <llvm/IR/LLVMContext.h>
#include <llvm/IR/Module.h>
#include <llvm/IR/BasicBlock.h>
#include <llvm/IR/CallingConv.h>
#include <llvm/IR/Constants.h>
#include <llvm/IR/Function.h>
#include <llvm/IR/GlobalVariable.h>
#include <llvm/IR/Instructions.h>
#include <llvm/IR/PassManager.h>
#include <llvm/IR/Verifier.h>

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<script src="//katacoda.com/embed.js"></script>
<div id="inline-terminal-1" data-katacoda-env="bash" style="height: 500px;"></div>

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import base64
import pickle
from email.mime.text import MIMEText
from googleapiclient.discovery import build


def create_message(sender, to, subject, message_text):
    """Create a message for an email.

      Args:

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library(ggplot2)
library(gganimate)

logsumexp=function (logx1,logx2){
  logx1 + log1p(exp(logx2-logx1))
}

llmixnorm <- function(par, y){
  a0 <- par[1]
  b0 <- par[2]

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A quick-start guide for using gnuplot for in-terminal plotting

Sometimes it is really nice to just take a quick look at some data. However, when working on remote computers, it is a bit of a burden to move data files to a local computer to create a plot in something like R. One solution is to use gnuplot and make a quick plot that is rendered in the terminal. It isn't very pretty by default, but it gets the job done quickly and easily. There are also advanced gnuplot capabilities that aren't covered here at all.

gnuplot has it's own internal syntax that can be fed in as a script, which I won't get into. Here is the very simplified gnuplot code we'll be using:

set terminal dumb size 120, 30; set autoscale; plot '-' using 1:3 with lines notitle

Let's break this down: