diogommartins

import sys
from pandas import DataFrame


def optimal_bst(keys, frequencies):
    n = len(keys)
    cost = [[0 for j in range(n)] for i in range(n)]  # Cria matriz com elementos = nulo

    # Popula diagonal
    for i in range(n):

diogommartins

import multiprocessing
import operator
import string
from functools import reduce
import itertools


def remove_punctuation(text):
    translator = str.maketrans({key: None for key in string.punctuation})

diogommartins

import requests

response = requests.get('http://www.americanas.com')
print(response.text)

diogommartins

import requests

urls = (
    'http://www.americanas.com',
    'http://www.submarino.com',
    'http://www.shoptime.com',
    'http://www.soubarato.com',
)

for url in urls:

diogommartins

import os
import requests
from multiprocessing import Pool


urls = (
    'http://www.americanas.com',
    'http://www.submarino.com',
    'http://www.shoptime.com',
    'http://www.soubarato.com',

diogommartins

import os
import requests
from multiprocessing.pool import ThreadPool as Pool


urls = (
    'http://www.americanas.com',
    'http://www.submarino.com',
    'http://www.shoptime.com',
    'http://www.soubarato.com',

diogommartins

import asyncio
from aiohttp import ClientSession

async def get_and_print(loop):
    async with ClientSession(loop=loop) as session:
        async with session.get("http://www.americanas.com") as response:
            print(await response.text())

loop = asyncio.get_event_loop()
loop.run_until_complete(get_and_print(loop))

diogommartins

import asyncio
from aiohttp import ClientSession


urls = (
    'http://www.americanas.com',
    'http://www.submarino.com',
    'http://www.shoptime.com',
    'http://www.soubarato.com',
)

diogommartins

import asyncio
from aiohttp import ClientSession

urls = (
    'http://www.americanas.com',
    'http://www.submarino.com',
    'http://www.shoptime.com',
    'http://www.soubarato.com',
)

diogommartins

#include<locale.h>
#include<stdio.h>

void main ()
{
//    Cidade Quilometro
//    Rio 9
//    Minas 7
//    Espirito Santo 6
//    São Paulo 12