fhuertas

import akka.actor.{Actor, ActorRef, ActorSystem, Props}
import akka.cluster.singleton.{
  ClusterSingletonManager,
  ClusterSingletonManagerSettings,
  ClusterSingletonProxy,
  ClusterSingletonProxySettings
}
import com.typesafe.config.{ConfigFactory, ConfigValueFactory}
import com.typesafe.scalalogging.LazyLogging

fhuertas

#!/bin/sh
parse_yaml() {
   local prefix=$2
   local s='[[:space:]]*' w='[a-zA-Z0-9_]*' fs=$(echo @|tr @ '\034')
   sed -ne "s|^\($s\)\($w\)$s:$s\"\(.*\)\"$s\$|\1$fs\2$fs\3|p" \
        -e "s|^\($s\)\($w\)$s:$s\(.*\)$s\$|\1$fs\2$fs\3|p"  $1 |
   awk -F$fs '{
      indent = length($1)/2;
      vname[indent] = $2;
      for (i in vname) {if (i > indent) {delete vname[i]}}

fhuertas

#!/usr/bin/env python
"""
Very simple HTTP server in python.

Usage::
    ./dummy-web-server.py [<port>]

Send a GET request::
    curl http://localhost

fhuertas

Build the following and make it run as fast as you possibly can using Python 3 (vanilla). The faster it runs, the more you will impress us!

Your code should:

• Download this 2.2GB file: https://s3.amazonaws.com/carto-1000x/data/yellow_tripdata_2016-01.csv
• Count the lines in the file
• Calculate the average value of the tip_amount field.

All of that in the most efficient way you can come up with.

fhuertas

from subprocess import Popen, PIPE


def shell_out(command):
  return Popen(command.split(' '), stdout=PIPE,stderr=PIPE).communicate()[0].strip('\n').split('\n')


def main():
  return shell_out('echo one\ntwo\nthree\n')