mathiasfls

{
  "estados": [
    {
      "sigla": "AC",
      "nome": "Acre",
      "cidades": [
        "Acrelândia",
        "Assis Brasil",
        "Brasiléia",
        "Bujari",

mathiasfls

import mysql.connector
from mysql.connector import Error
import tweepy
import json
from dateutil import parser
import time
import os
import subprocess

#importing file which sets env variable

mathiasfls

# imports
import numpy as np
import matplotlib.pyplot as plt
from sklearn.linear_model import LinearRegression
from sklearn.metrics import mean_squared_error, r2_score

# generate random data-set
np.random.seed(0)
x = np.random.rand(100, 1)
y = 2 + 3 * x + np.random.rand(100, 1)

mathiasfls

library(rJava)
library(coreNLP)
initCoreNLP()

#in this case, 'test' is a data frame with a col named 'text'

for (i in 1:dim(test)[1]) {
  cat(paste0(i / dim(test)[1] * 100, '% completed'))
  ann <- annotateString(paste(test$text[i]), format = c("obj"), outputFile = NA, includeXSL = FALSE)
  gd <- getDependency(ann)

mathiasfls

library(rJava)
library(coreNLP)
initCoreNLP()

#in this case, 'test' is a data frame with a col named 'text'

for (i in 1:dim(test)[1]) {
  cat(paste0(i / dim(test)[1] * 100, '% completed'))
  ann <- annotateString(paste(test$text[i]), format = c("obj"), outputFile = NA, includeXSL = FALSE)
  gd <- getDependency(ann)

mathiasfls

# Proof of concept of using V8 to parse HTML in R
# Example taken from rvest readme
# Jeroen Ooms, 2015

library(V8)
stopifnot(packageVersion("V8") >= "0.4")

# Get Document
html <- paste(readLines("http://www.imdb.com/title/tt1490017/"), collapse="\n")

mathiasfls

<!DOCTYPE qgis_style>
<qgis_style version="2">
  <symbols>
    <symbol name="qartoon" force_rhr="0" clip_to_extent="1" alpha="1" type="fill">
      <layer class="SimpleFill" enabled="1" locked="0" pass="0">
        <prop v="3x:0,0,0,0,0,0" k="border_width_map_unit_scale"/>
        <prop v="0,0,0,255" k="color"/>
        <prop v="round" k="joinstyle"/>
        <prop v="1,1" k="offset"/>
        <prop v="3x:0,0,0,0,0,0" k="offset_map_unit_scale"/>

mathiasfls

const URL = 'https://public.tableau.com/views/PPV_15924847800480/ppv_db?%3Aembed=y&%3AshowVizHome=no&%3Adisplay_count=y&%3Adisplay_static_image=n&%3AbootstrapWhenNotified=true&%3Alanguage=en&:embed=y&:showVizHome=n&:apiID=host0';

const puppeteer = require('puppeteer');

// Below, largely cribbed from Thomas Dondorf at https://stackoverflow.com/questions/52969381/how-can-i-capture-all-network-requests-and-full-response-data-when-loading-a-pag

(async () => {
    const browser = await puppeteer.launch();
    const [page] = await browser.pages();

mathiasfls

from fastcore.utils import *

host = 8888,'localhost'
sock = start_server(*host)
print(f'Serving on {host}...')
while True:
    conn,addr = sock.accept()
    with conn:
        data = conn.recv(1024)
        print(data.decode())

mathiasfls

###############################################################################################
##                                                                                           ##
##           Setup                                                                           ##
##                                                                                           ##
###############################################################################################

# install.packages("Rfacebook")  # from CRAN
# install.packages("Rook")  # from CRAN
# install.packages("igraph") # from CRAN