SaschaHeyer

var beers = ['Pils','Weißbier','Weizen'];
for(var beer of beers){
  console.log(beer);
}

//output: Pils
//output: Weißbier
//output: Weizen

SaschaHeyer

let beerName = 'Bitburger';
let beerPrice = 1.50;

console.log(`The ${beerName} cost ${beerPrice}`);
// output: The Bitburger cost 1.5

let beers = `Bitburger
Bolten
Heineken
`;

SaschaHeyer

const beer = {
  name: 'Bitburger',
  price: 1.5,
  type: 'pils',
};

const { name, type } = beer;

console.log(name, type);
// output: Bitburger pils

SaschaHeyer

const beer = ['Bitburger', 1.5, 'Pils'];
const [name, price, type] = beer;
console.log(name, price, type);
// output: Bitburger 1.5 Pils

SaschaHeyer

function writeBeer({ name, type }){
  console.log(name)
  console.log(type)
}

let beer = {
  name: 'Bitburger',
  type: 'Pils'
}

SaschaHeyer

let beers = ['Bitburger','Heineken'];
 
function logBeers (firstParameter, secondParameter) {
  return console.log(`${firstParameter} ${secondParameter}`);
}
 
logBeers(...beers); // output: Bitburger Heineken

SaschaHeyer

function(parameter = defaultvalue){ 
  statements 
};

// MDN syntax specification
function [name]([param1[ = defaultValue1 ][, ..., paramN[ = defaultValueN ]]]) {
   statements
};

SaschaHeyer

# $ pip install pydata-google-auth

import pydata_google_auth
credentials = pydata_google_auth.get_user_credentials(
    ['https://www.googleapis.com/auth/cloud-platform'],
)

# Use the credentials in other libraries, such as the Google BigQuery
# client library.
from google.cloud import bigquery

SaschaHeyer

gcloud container clusters resize kubeflow --num-nodes=0 --region=us-central1-a

SaschaHeyer

source python3/bin/activate
python -m ipykernel install --user --name=tensorflow
start jupyter notebooks
switch kernel to Tensorflow