showyou

import sys
from flask import Flask,request,render_template, g, flash, send_from_directory
import datetime
import locale
from sqlite3 import dbapi2 as sqlite3
from werkzeug import secure_filename

DATABASE = "./tmp/fileserver.db"
TMP_FOLDER = "./tmp/"
app = Flask(__name__)

mohamedmansour

// Content Script to save data.
chrome.extension.sendRequest({storage: 'foo', value: 'bar'});


// Content Script to get data.
chrome.extension.sendRequest({storage: 'foo'}, function(response) {
  console.log('foo => ' + response.storage);
});

// Background Page

mbostock

license: gpl-3.0

Salinger

#!/usr/bin/env python                                                                                                                                           
#-*- coding:utf-8 -*-                                                                                                                                           
import MeCab

m = MeCab.Tagger("-Ochasen")
string = u"それサバンナでも同じ事言えんの？"

# MeCabでUnicode文字列を扱う場合は、一度エンコードする必要がある。                                                                                              
# この際、                                                                                                                                                      
# node = tagger.parseToNode(string.encode("utf-8"))                                                                                                             

Shinpeim

Better Java としての Scala

Hello World

• src/main/scala/Main.scala

object Main {
  def main(args: Array[String]): Unit = {
    println("hello scala!")

rike422

casper.jsとは

CasperJS is an open source navigation scripting & testing utility written in Javascript for the PhantomJS WebKit headless browser and SlimerJS (Gecko). It eases the process of defining a full navigation scenario and provides useful high-level functions, methods & syntactic sugar for doing common tasks such as:

参考資料

• http://saisa.hateblo.jp/entry/2013/09/12/222035
• http://casperjs.org/

コマンド

parosky

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import csv
import codecs
import numpy as np
import MeCab

from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.cluster import KMeans, MiniBatchKMeans

gist:8079281

function google() {
    local str opt
    if [ $# != 0 ]; then # 引数が存在すれば
        for i in $*; do
        str="$str+$i"
        done
        str=`echo $str | sed 's/^\+//'` #先頭の「+」を削除
        opt='search?num=50&hl=ja&ie=euc-jp&oe=euc-jp&lr=lang_ja'
        opt="${opt}&q=${str}"
    fi

finaiized

class QuickFind(object):
    """
    Implements the quick find algorithm for the dynamic connectivity problem
    
    Cost model (in array read/writes):
        Initialization: N
        Union: N
        Find: 1
    
    Algorithm:

cocodrips

0 : ( 24 48 68 73 74 89 99 )
1 : ( 20 34 46 47 54 71 78 )
2 : ( 6 13 14 16 23 25 28 29 30 37 41 43 50 51 53 55 58 59 60 61 65 66 69 70 72 75 79 83 84 85 86 88 90 92 94 97 )
3 : ( 1 7 15 26 33 36 38 64 76 80 81 91 96 100 )
4 : ( 3 17 35 44 45 52 67 77 )
5 : ( 9 10 21 27 87 )
6 : ( 4 62 82 95 98 )
7 : ( 5 18 31 39 40 56 )
8 : ( 8 12 22 32 42 57 63 )
9 : ( 2 11 19 49 93 )