hoony-o-1

export const lazyLoad = (src, callback) => {
  const script = document.createElement('script')
  script.type = 'text/javascript'
  script.async = true
  script.src = src
  document.getElementsByTagName('head')[0].appendChild(script); // add to page

  if (script.readyState) {
    script.onreadystatechange = function () {
      if (script.readyState == "loaded" || script.readyState == "complete") {

hoony-o-1

var x = 'jyhwng'

// string.length
console.log(x.length === 6)

// string.prototype.indexOf
var index = x.indexOf('j')
console.log(index === 0)

hoony-o-1

Node.js & MySQL 서버 구축하기

Node.js 서버 기초

Node.js에서 RESTful API를 구축하기 위해 쓰이는 가장 기본적인 프레임워크는 Express - Node.js web application framework입니다.

var express = require('express')

var app = express()

app.get('/', function(req, res) {

hoony-o-1

Keybase proof

I hereby claim:

• I am the6thm0nth on github.
• I am the6thm0nth (https://keybase.io/the6thm0nth) on keybase.
• I have a public key ASDl4da1m8A4hZHfwXj-cKo89AAmxoeIj-01U_KWBe70DAo

To claim this, I am signing this object:

hoony-o-1

mike@rbci:~$ psql -U postgres
psql (9.0.3)
Type "help" for help.

postgres=# update pg_database set datallowconn = TRUE where datname = 'template0';
UPDATE 1
postgres=# \c template0
You are now connected to database "template0".
template0=# update pg_database set datistemplate = FALSE where datname = 'template1';
UPDATE 1

hoony-o-1

from os import listdir

import sys
import json
import csv

import gevent
import pandas as pd
import numpy as np

hoony-o-1

library(jsonlite)

basic.members <- fromJson("assembly_members.json")
basic.attendances <- read.csv("attendances.csv")

members <- basic.members[, c("idx", "name_kr", "party", "when_elected")]
main.attendances <- merge(members, basic.attendances, by = "idx")

write.csv(main.attendances, file = "main_attendaces.csv", sep = ",", row.names = FALSE)

hoony-o-1

from os import listdir

import sys
import json
import csv

import gevent
import pandas as pd
import numpy as np

hoony-o-1

import sys
import csv
from pymongo import MongoClient

MONGO_HOST = 'localhost'
MONGO_PORT = 27017

DOCUMENT_NAME = 'test'
COLLECTION_NAME = 'service'

hoony-o-1

import json
import csv

CSV_FILENAME = 'services.csv'
JSON_FILENAME = 'services.json'
COLUMNS = ('제목', '지원내용', '서비스 목적', '시행일자', '종료일자', '소관기관', '소관기관 연락처', '관심분야', '지원형태', '지원대상', '수급자격', '선정기준', '중복불가 서비스', '신청필요여부', '온라인신청가능여부', '처리기한', '신청절차', '구비서류', '신청기한', '접수기관', '접수기관 연락처', '처리기관', '처리기관 연락처', '문의처', '문의전화번호', '웹사이트')

def convert():
    csv_reader = open(CSV_FILENAME, 'r')
    json_writer = open(JSON_FILENAME, 'w')