rgbkrk

import IPython.display
import requests

def random_image_url(tags=None):
    query = ""
    if tags is not None:
        query = "&tag=" + "+".join(tags)

    api_url = "http://api.giphy.com/v1/gifs/random?api_key=dc6zaTOxFJmzC" + query
    resp = requests.get(api_url)

rgbkrk

rgbkrk

rgbkrk

/**
 * The cicada principle in animations
 * Remember the cicada principle that used prime numbers to make multiple overlaid repeated backgrounds seem more random?
 * There’s no reason it can’t be applied to repeating linear animations too (using primes for the durations, divided by 10)
 */
 
@keyframes spin { to { transform: rotate(1turn); } }
@keyframes radius { 50% { border-radius: 50%; } }
@keyframes color { 33% { color: rebeccapurple; } 66% { color: deeppink } }
@keyframes width { 50% { border-width: .3em; } }

rgbkrk

/**
 * Pseudorandom stripes
 */

background: #D5D5D5;
background-image: 
	linear-gradient(89deg, #EEE 23px, transparent 0),
	linear-gradient(97deg, #DDD 17px, transparent 0),
	linear-gradient(101deg, #D0D0D0 23px, transparent 0);
background-size: 83px 100%, 61px 100%, 41px 100%;

rgbkrk

> flights_tbl
Source:   query [3.368e+05 x 19]
Database: spark connection master=yarn-client app=sparklyr local=FALSE

    year month   day dep_time sched_dep_time dep_delay arr_time sched_arr_time
   <int> <int> <int>    <int>          <int>     <dbl>    <int>          <int>
1   2013     1     1      517            515         2      830            819
2   2013     1     1      533            529         4      850            830
3   2013     1     1      542            540         2      923            850
4   2013     1     1      544            545        -1     1004           1022

rgbkrk

{
 "display_name": "Python 2 (PySpark 1.6.1)",
 "argv": [
  "/usr/bin/python2",
  "-m",
  "ipykernel",
  "-f",
  "{connection_file}",
  "--IPKernelApp.file_to_run=/path/to/spark_home/python/pyspark/shell.py"
 ],

rgbkrk

>>> import pandas as pd
>>> pd.read_csv("./gboeing/urban-data-science/07-Intro-to-Pandas/data/countries.csv").head()
  country google_country_code country_group   name_en   name_fr     name_de  \
0      at                  AT            eu   Austria  Autriche  Österreich
1      be                  BE            eu   Belgium  Belgique     Belgien
2      bg                  BG            eu  Bulgaria  Bulgarie   Bulgarien
3      hr                  HR        non-eu   Croatia   Croatie    Kroatien
4      cy                  CY            eu    Cyprus    Chypre      Zypern

    latitude  longitude

rgbkrk

Lodash has a sweet feature called a mixin that lets you alias function names. Below here I alias names that we're used to using in SQL to (roughly) equivalent functions in lodash.

_.mixin({
  select: _.map,
  from: _.chain,
  where: _.filter,
  groupBy: _.sortByOrder,
})

rgbkrk

const readline = require('readline')
const vm = require('vm')

const sandbox = vm.createContext(Object.assign({}, global))

const rl = readline.createInterface(process.stdin, process.stdout)

rl.setPrompt("> ")
rl.prompt()