aydinemre

import os
from datetime import datetime
from time import sleep

import pandas as pd
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.ui import WebDriverWait

aydinemre

import json
import os
import sys

from Crypto.Cipher import AES

default_paths = [
    '~/Library/DBeaverData/workspace6/General/.dbeaver/credentials-config.json',
    '~/.local/share/DBeaverData/workspace6/General/.dbeaver/credentials-config.json',
    '~/.local/share/.DBeaverData/workspace6/General/.dbeaver/credentials-config.json',

aydinemre

def solution(A: list) -> int:
    """
    Get list of integers and return the number of trees with aesthetics if remove one element.
    :param A: List of integers
    :return: Number of trees with aesthetics if remove one element from the list
    """
    cutting_way_count = 0

    if is_tree_aesthetics(A):
        # if the original list is a tree with aesthetics return 0

aydinemre

# pip install docxcompose  
# Combines all word files under docs folder
import os
from pathlib import Path

from docxcompose.composer import Composer

from docx import Document as Document_compose

aydinemre

import math

import pandas as pd
from trello import TrelloClient

client = TrelloClient(
    api_key='',
    api_secret='',
)

aydinemre

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

from time import sleep
import requests

from bs4 import BeautifulSoup
import pandas as pd
from tqdm import tqdm
from unidecode import unidecode

aydinemre

# docker run -d -p 4444:4444 selenium/standalone-chrome:4.0.0-beta-1-20210215
# python selenium_test.py
import uuid
from datetime import datetime
from multiprocessing import Pool
from random import randint
from time import sleep

import pandas as pd
from selenium import webdriver

aydinemre

import pandas as pd

def json2df(json_df):
  def normalize_column(dataframe, column):
    df = pd.json_normalize(dataframe[column]) # Normalize column  
    df.columns = [f"{column}.{col}" for col in df.columns]
    return pd.concat([dataframe, df], axis=1).drop(columns=column)

  # id
  json_df['_id'] = json_df['_id'].apply(lambda _id: _id.get('$oid'))

aydinemre

import os
from urllib.request import urlretrieve

import pandas as pd
import requests
from bs4 import BeautifulSoup
from selenium import webdriver
from selenium.common.exceptions import NoSuchElementException
from webdriver_manager.chrome import ChromeDriverManager

aydinemre

import itertools

import pandas as pd
from selenium import webdriver

from selenium.webdriver.support.select import Select

driver = webdriver.Chrome(executable_path='./chromedriver')

belediyeler = ['basaksehir-belediyesi-arsa-rayic']