Basics
docker version
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docker container ls --allBasics
docker version
docker info
docker login
docker logout
docker image ls
docker container ls --all| dialog { | |
| position: fixed; | |
| top: 50%; | |
| left: 50%; | |
| right: auto; | |
| padding: 30px; | |
| transform: perspective(500px) translate(-50%, -50%); | |
| background: linear-gradient(to bottom, #FFF, #F4F4F4) #FFF; | |
| border: none; | |
| border-radius: 3px; |
| URL Schemes | |
| Apple | |
| Apple Music — music://geo.itunes.apple.com/us/albums/<albumID> | |
| – music://geo.itunes.apple.com/us/artists/<artistID> | |
| Apple News — applenews:// | |
| App Store — itms-apps://itunes.apple.com/app/<appID> | |
| Apple TV — videos:// |
| <div id="app"></div> | |
| <script> | |
| // fileA.js | |
| let currentEffect | |
| class Dep { | |
| constructor() { | |
| this.subscribers = new Set() | |
| } |
| // 1. Shorten the console log | |
| const log = console.log.bind(document) | |
| log("does it work?") | |
| log("yes") | |
| log(5) | |
| // 2. Merge two arrays into one | |
| const array1 = ["One", "Two", "Three"] | |
| const array2 = ["Four", "Five", "Six"] |
| import pandas as pd | |
| import numpy as np | |
| def get_dataset(size): | |
| # Create Fake Dataset | |
| df = pd.DataFrame() | |
| df['size'] = np.random.choice(['big','medium','small'], size) | |
| df['age'] = np.random.randint(1, 50, size) | |
| df['team'] = np.random.choice(['red','blue','yellow','green'], size) | |
| df['win'] = np.random.choice(['yes','no'], size) |
| // Use like this: node --import logger.js yourapp.js | |
| import path from 'path'; | |
| const { log } = console; | |
| [`debug`, `log`, `warn`, `error`, `table`, `dir`].forEach((methodName) => { | |
| const originalLoggingMethod = console[methodName]; | |
| console[methodName] = (...args) => { | |
| const originalPrepareStackTrace = Error.prepareStackTrace; | |
| Error.prepareStackTrace = (_, stack) => stack; |