ksomemo

エンジニア向け研修

• AI Shift
  • 社内SQL研修のために作った資料を公開します - (2021/06/21)
• Classi
  • 当たり前にリリースしていく ~ 新卒研修編 - (2021/05/20)
• CyberZ
  • 良いコードとは何か - エンジニア新卒研修 スライド公開 - (2021/04/27)
• DMM.com(旧DMM.comラボ含む)
  • ＤＭＭ.comラボ16新卒エンジニア研修 - (2016/08/24)
• DMM.comの新卒技術研修がスタートしました！ - (2019/04/25)

ksomemo

#!/usr/bin/env python3
# -*- coding: utf-8 -*-

from tornado import ioloop, httpserver, web, httpclient

import json
import urllib.parse
import logging

import time

ksomemo

• BIOS
  • enabled BIOS virtual CPU
• windows
  • update kernel
  • set WSL version 2
  • enabled Virtual machine platform and WSL
  • install Ubuntu from store
  • git bash for windows
  • install vscode
• install remote extension

ksomemo

python -c 'import sys,json as j;print(j.dumps(j.loads(sys.stdin.read()),indent=2,ensure_ascii=False))'
# no ensure_ascii
python -m json.tool

ksomemo

javascript:(() => {location.href += '&lr=lang_en';})()

ksomemo

import io.digdag.core.plugin.RemotePluginLoader;
import io.digdag.core.plugin.Spec;
import java.nio.file.Path;
import java.nio.file.Paths;
import java.util.Arrays;


public class Main {
    public static void main(String[] args) {
        Spec spec = Spec.of(

ksomemo

def query2sql(query):
    """convert query object into non-prepared sql string in SQLAlchemy and psycopg2"""
    compiler = query.statement.compile()
    params = compiler.params
    prepared_sql = compiler.string  # or str(compiler)
    psycopg2_cursor = query.session.connection().connection.cursor()
    sql = psycopg2_cursor.mogrify(prepared_sql, params)
    return sql

ksomemo

---
- name: Deploy new site release
  user: deployer
  hosts: all

  tasks:

    - name: Fetch repo updates
      git: >
        [email protected]:my/repo.git

ksomemo

a = 0
a2 = 100

def main():
    global a, a2
    print('a2', a2)
    print(a)
    a += 1
    print(a)
    a += 5

ksomemo

using PyPlot

const AREA_SCALE = 100
const NUM_POINTS = 100

# 頂点をランダムな位置に配置
function generate_points()
    points = zeros(NUM_POINTS, 2)
    points[:, 1] = rand(NUM_POINTS) * AREA_SCALE
    points[:, 2] = rand(NUM_POINTS) * AREA_SCALE