PiotrKrosniak

import tensorflow as tf 
import pickle 
import pandas as pd 

#Read DataFrame from CSV
csv_file = pd.read_csv('./results/ADM_VRP_20_1024/data_pak_calc.csv')
df = csv_file[['latitude','longitude', 'demand']].head(10)

def create_data(graph_size, num_samples, is_save=True, filename=None, is_return=False, seed=1234):
    """Generate validation dataset (with SEED) and save

PiotrKrosniak

# Web scraping from w3schools

from urllib.request import urlopen as get
from bs4 import BeautifulSoup
b_url = 'https://www.w3schools.com/python/'
n_url, s_url = 'python_intro.asp', 'python_exam.asp'
page_count = 0


def start(base_url, next_url, stop_url):

PiotrKrosniak

PiotrKrosniak

#Read list of RSS feeds from CSV files and save outpoot in another CSV 

import feedparser
import csv
import jsonpickle

writer = csv.writer(open('items.csv', 'w'))
reader = csv.reader(open('feeds.csv', 'r'))
next(reader) # column headings

PiotrKrosniak

# -*- coding: utf-8 -*-
from chatterbot import ChatBot
from chatterbot.trainers import ListTrainer
import os

bot = ChatBot('Bot')
bot.set_trainer(ListTrainer)

for files in os.listdir('C:/Users/pkrosniak/PycharmProjects/chatbot/chatterbot-corpus-master/chatterbot_corpus/data/english/'):
	data = open('C:/Users/pkrosniak/PycharmProjects/chatbot/chatterbot-corpus-master/chatterbot_corpus/data/english/' + files ,'r'). readlines()

PiotrKrosniak

import tweepy
from time import sleep
from credentials import *

auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
api = tweepy.API(auth)

user_profile = api.user_timeline(screen_name = 'NAME', count = 1, include_rts = False)

PiotrKrosniak

# Import Tweepy, sleep, credentials.py
import tweepy
from time import sleep
from credentials import *

# Access and authorize our Twitter credentials from credentials.py
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
api = tweepy.API(auth)

PiotrKrosniak

import tweepy
import pandas as pd
from datetime import datetime

def lookup_user_list(user_id_list, api):
    full_users = []
    users_count = len(user_id_list)
    try:
        for i in range((users_count // 100) + 1):
            print i

PiotrKrosniak

# Import Tweepy, sleep, credentials.py
import tweepy
from time import sleep
from credentials import *

# Access and authorize our Twitter credentials from credentials.py
auth = tweepy.OAuthHandler(consumer_key, consumer_secret)
auth.set_access_token(access_token, access_token_secret)
api = tweepy.API(auth)

PiotrKrosniak

from twitter import Twitter, OAuth, TwitterHTTPError
import time

# enter the corresponding information from your Twitter application:
consumer_key = ''  # keep the quotes, replace this with your consumer key
consumer_secret = ''  # keep the quotes, replace this with your consumer secret key
access_token_key = ''  # keep the quotes, replace this with your access token
access_token_secret = ''  # keep the quotes, replace this with your access token secret

t = Twitter(auth=OAuth(access_token_key, access_token_secret,