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$ vi .zshrc
+ export PATH=/usr/local/bin:/usr/local/sbin:$PATH
$ source .zshrc
$ echo $PATH
/usr/local/bin:/usr/local/sbin:/usr/bin:...

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# Node.jsをHomebrewから入れる
$ brew install node

# NPM(Node Package Manager)を入れる
$ sudo curl http://npmjs.org/install.sh | sh

# 環境変数を設定する(Zshの場合)
$ vi .zshrc
+ export NODE_PATH=/usr/local/lib/node_modules
$ source .zshrc

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// UIActionSheetクラスを作成する
// cancelButtonとdestructiveButtonはどちらかをnilにしておく
UIActionSheet *sheet;
sheet = [[UIActionSheet alloc] initWithTitle:@"写真選択"
                                    delegate:self
                           cancelButtonTitle:@"キャンセル"
                      destructiveButtonTitle:nil
                           otherButtonTitles:@"カメラ", @"ライブラリ", nil];

[sheet showInView:self.view];

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$ vi ~/.ssh/config
+ Host gitolite
+ HostName ***.***.***.***
+ User git
+ Port ****
+ IdentityFile ~/.ssh/gitolite

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#!/bin/sh
# Just copy and paste the lines below (all at once, it won't work line by line!)
# MAKE SURE YOU ARE HAPPY WITH WHAT IT DOES FIRST! THERE IS NO WARRANTY!

function abort {
  echo "$1"
  exit 1
}

set -e

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server {
    listen ****; #8080とか8001とか
    server_name ****;

    # Root
    location / {
        root  /usr/local/www/;
        index index.html index.htm;
            if (-f $request_filename) {
                expires 30d;

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server {
    listen ****; # 80番以外の競合しないポート
    server_name blog.hifumi.info;
    client_max_body_size 20M;

    # Root
    location / {
        root  /usr/local/www/wordpress;
        index index.html index.htm index.php;
            if (-f $request_filename) {

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// Inspired by http://stackoverflow.com/questions/540345/how-do-you-load-custom-uitableviewcells-from-xib-files

#import <UIKit/UIKit.h>

@interface BaseCell : UITableViewCell

/* Load Cell-Object from Nib-Name */
+ (BaseCell*)cellFromNibNamed:(NSString *)nibName;

@end

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"""
Three ways of computing the Hellinger distance between two discrete
probability distributions using NumPy and SciPy.
"""

import numpy as np
from scipy.linalg import norm
from scipy.spatial.distance import euclidean

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import numpy as np
import numpy.random as rand
import matplotlib.pyplot as plt


def mixture_gaussian(i):
    pi_0 = 0.3
    if rand.random() < pi_0:
        return rand.normal(-5, 1)
    else: