y-abe

import yaml
import os
from graphviz import Digraph
from uuid import uuid4


class Block:
    def __init__(self, graph_name, label):
        self.graph_name = graph_name
        self.name = str(uuid4())

y-abe

with
installed_users as (
  select distinct
         os
       , gps_adid
       , idfa
       , idfv
    from install_log
    -- ログはUTC時間で収集されているので、JSTに合わせている
    -- dt は hour 単位

y-abe

import time
import json
import requests
import logging
import os

logger = logging.getLogger()
logger.setLevel(logging.INFO)

y-abe

resource "google_project" "host-project" {
  name                = "host-project"
  project_id          = "host-project-id"  // プロジェクトIDはグローバルで一つなので、実際に作るときはかぶらないように乱数をつけておくと良いかもしれません。
  auto_create_network = false  // これを設定していないとリージョン毎にサブネットワークが生成される
}

resource "google_compute_network" "host-vpc" {
  project                 = google_project.host-project.id
  name                    = "default"
  auto_create_subnetworks = false

y-abe

$ defaults write NSGlobalDomain InitialKeyRepeat -int 10
$ defaults write NSGlobalDomain KeyRepeat -int 1

やってから、ログアウト＆ログイン

y-abe

print 'hello'

def func(x, y):
  return x + y

y-abe

package main

import (
	"fmt"
	"time"

	"golang.org/x/net/context"
)

func leafFunc(ctx context.Context) string {

y-abe

import nltk
from nltk.corpus import wordnet as wn
from nltk.stem.porter import PorterStemmer
from nltk.stem import WordNetLemmatizer

wordnet_lemmatizer = WordNetLemmatizer()
porter_stemmer = PorterStemmer()
print porter_stemmer.stem('presumably')
print wordnet_lemmatizer.lemmatize('studies')

y-abe

require 'nn'

dataset = {}
function dataset:size() return 1000 end
for i = 1, dataset:size() do
        local input = torch.randn(2)
        print(input)
        local output = torch.Tensor(1)
        if input[1] * input[2] > 0 then
                output[1] = 1

y-abe

// Use Gists to store code you would like to remember later on
console.log(window); // log the "window" object to the console