Tukukkk

At the moment I'd like recommendation where I can change and what I can use to improve on simplicity and modularity. If I'm practicing good naming conventions as to provide clean readable code. Any critique is much appreciated.

import time

import re

import requests

from bs4 import BeautifulSoup, SoupStrainer

import pandas as pd

from time import sleep



SESSION = requests.Session()





""" This is the Google Analytics Selector Section """





class myGoogleSession:



    def fetch_google_xml(self, URL, country_code):

        format_url = f"{URL}{country_code}"

        response = SESSION.get(format_url)

        soup = BeautifulSoup(response.text, 'xml',

                             parse_only=SoupStrainer('channel'))

        return soup





google_session = myGoogleSession()





def google_trends_retriever(URL, country_code):

    xml_soup = google_session.fetch_google_xml(URL, country_code)

    return[(title.text, re.sub("[+,]", "", traffic.text))

           for title, traffic in zip(xml_soup.find_all('title')[1:],

                                     xml_soup.find_all('ht:approx_traffic'))]





def create_pdTrend(data):

    check_panda = pd.DataFrame(

        google_trends_retriever(GoogleURL, data),

        columns=['Title', 'Score']

    )

    if len(check_panda) == 0:

        print('No available data')

    else:

        return check_panda



""" This is the Country Code Selector Section """





country_code_list = 





class myCountryCodeSession:

    def fetch_countrycode_html(self, URL):

        response = SESSION.get(URL)

        soup = BeautifulSoup(response.text, 'html.parser',

                             parse_only=SoupStrainer('table'))

        return soup





countryCode_session = myCountryCodeSession()





def parse_row(url):

    rows = countryCode_session.fetch_countrycode_html(url)

    _rows = rows.findChildren(['td', 'tr'])

    for row in _rows:

        cells = row.findChildren('td')[2:3]

        for cell in cells:

            value = cell.string

            country_code_list.append(value[:2])

    return None





def create_pdCountryCode(country_code):

    return pd.DataFrame({'Country_Code': country_code})





def iterate_List(data):

    i = 1

    while i < len(data):

        selected_CountryCode = get_data_fromList(i)

        print(create_pdTrend(selected_CountryCode))

        sleep(0.5)

        i += 1

    else:

        print('Has reach the end of i ' + str(i))





def get_data_fromList(num):

    key = num-1

    for i in country_code_list[key:num]:

        return str(i)





if __name__ == '__main__':

    """ URL Section """

    GoogleURL = "https://trends.google.com/trends/trendingsearches/daily/rss?geo="

    CountryCodeURL = "https://countrycode.org/"

    """-------------"""



    """Country Code Section """

    parse_row(CountryCodeURL)

    """---------------------"""



    """Google Analytics Section """

    iterate_List(country_code_list)

    """-------------------------"""