monasorjja

apt-get install python3-pip
alias pip=pip3
apt-get install python3-virtualenv

#virtualenv can also be installed using
pip install --user virtualenv

monasorjja

import pandas as pd
import requests as re
import sqlite3 as sql
from wordsegment import unigram_counts as uc

#globals
con = sql.connect("C:\\Users\\win10\\YandexDisk\\apps\\flask\\new_file.sqlite")
df0 = pd.read_sql("SELECT * from do_1", con, index_col='host')
df = df0.copy()
wordniklist = []

monasorjja

import datetime
from datetime import timedelta

pdt = datetime.datetime.utcnow() - datetime.timedelta(seconds=25200)

""" seconds are equivalent of time difference, utc - 7 = pdt """

monasorjja

<script>
// Popup Window
var scrollTop = '';
var newHeight = '100';
 
$(window).bind('scroll', function() {
  scrollTop = $( window ).scrollTop();
  newHeight = scrollTop + 100;
});
 

monasorjja

$(document).ready(function () {
    //open popup
    $(".pop").click(function () {
        $(this).parent().find("form .overlay_form").fadeIn(1000);
        positionPopup();
    });

    //close popup
    $(".close").click(function () {
        $(".overlay_form").fadeOut(500);

monasorjja

import request as re
from bs4 import BeautifulSoup as bs

url = ''
headers={"User-Agent": "Mozilla/5.0 (Windows NT 6.3; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/37.0.2049.0 Safari/537.36"}
#headers ={"User-Agent": ""}

s = re.Sessions()

#then

monasorjja

#~ Rough code to get you going with Stanford POS Tagger on NLTK.
#~ http://netmatrx.com
#~ 


import os

#~from nltk.parse import stanford
os.environ['JAVAHOME'] = 'C:\Program Files\Java\jdk1.8.0_91'
#os.environ['STANFORD_POSTAGGER'] = 'C:\stanford\stanford-postagger-3.6.0.jar'