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d = {}
for email, site in zip(our_data, ALL_LINKS_ARTICLE):
        d.setdefault(email, []).append(site)

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>>> a = list(map(int, input().split()))
>? 4 -1 4 1 1
>>> a
[4, -1, 4, 1, 1]

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import argparse

PARSER = argparse.ArgumentParser('enter the directory where you want to save the data')
PARSER.add_argument("-d", "--directory", type=str,
                    help="where to save data? Example: /home/cat/example_folder/")
ARGS = PARSER.parse_args()

OUR_DIR = ARGS.directory

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>>> from datetime import datetime, timedelta
>>> a = datetime(2010, 12, 12)
>>> b = datetime(2009, 12, 12)
>>> a-b
datetime.timedelta(365)

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virtualenv -p /usr/bin/python2.7 project2_7

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$ source ./<environmentname>s/bin/activate

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f.write("Ranking, Code, Stock,"
        "Links, Closing Price, Delta,"
        "Net Purchase Amt, Buy Amt, Sell Amt, Turnover")

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"//a[starts-with(descendant::text(), 'Next page')]/@href"

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from scrapy import Request
req = Request("url.com", headers={"USER-AGENT" : "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/58.0.3029.110 Safari/537.36 OPR/45.0.2552.888"})
fetch(req)

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#!/usr/bin/python
# -*- coding: utf-8 -*-

import requests
import pandas as pd

url = "url_with_table"
df = pd.read_html(url)
df = df[0]
df.columns = df.iloc[0]