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def get_hotwords(text):
    result = []
    pos_tag = ['PROPN', 'ADJ', 'NOUN'] # 1
    doc = nlp(text.lower()) # 2
    for token in doc:
        # 3
        if(token.text in nlp.Defaults.stop_words or token.text in punctuation):
            continue
        # 4
        if(token.pos_ in pos_tag):

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{
  "title": {
    "media": "Media",
    "text": {
      "headline": "Electronic invoices timeline",
      "text": "A timeline of how electronic invoicing is introduced in Europe. JSON file on 
      https://gist.github.com/dajor/4a2ac241fc42c4376c08f3e64ff1f879 for the great MPL 
      <a href='https://github.com/NUKnightLab/TimelineJS3'>Knightlabs Timeline</a>."
    }
  },

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import csv
from faker import Faker
import datetime

def datagenerate(records, headers):
    fake = Faker('de_DE')
    fake1 = Faker('de_DE')   # To generate phone numbers
    with open("People_data_de.csv", 'wt') as csvFile:
        writer = csv.DictWriter(csvFile, fieldnames=headers)
        writer.writeheader()

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import requests
import json
import base64
from oauthlib.oauth2 import BackendApplicationClient
from requests_oauthlib import OAuth2Session
from requests.auth import HTTPBasicAuth


with open('Postman.ionapi') as json_file:
    data = json.load(json_file)

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from flask import Flask, render_template, request
from chatterbot import ChatBot
from chatterbot.trainers import ChatterBotCorpusTrainer
import requests
from twilio.twiml.messaging_response import MessagingResponse

app = Flask(__name__)

german_bot = ChatBot("Chatterbot", storage_adapter="chatterbot.storage.SQLStorageAdapter")
trainer = ChatterBotCorpusTrainer(german_bot)

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import os, io
import logging
from PIL import Image
import azure.functions as func
import tempfile
from azure.storage.blob import BlockBlobService

from pdf2image import convert_from_path, convert_from_bytes

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import traceback
from sparktestingbase.sqltestcase import SQLTestCase



class SparkSQLTestCase(SQLTestCase):
    def getConf(self):
        from pyspark import SparkConf
        conf = SparkConf()
        conf.set(

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#!/bin/bash

#pip install pydocumentdb --upgrade

pip install matplotlib --upgrade

pip install pandas

pip install memory_profiler