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AnyLeft Privacy Policy / Gizlilik Politikası

Last updated / Son güncelleme: October 3, 2026 / 3 Ekim 2026

English

Information you enter

AnyLeft is a manual personal finance tracker. Accounts, transactions, budgets, notes, and receipts you add are stored on your device. AnyLeft does not operate an account or server that receives your financial records, connect to your bank, or currently offer in-app cloud sync. Your iPhone backup settings may affect where a device backup is stored.

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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

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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',

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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

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# 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

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import math

import pandas as pd
from trello import TrelloClient

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

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#!/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

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# 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

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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'))

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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