keNzi

import pandas as pd

# Specify the CSV file path
csv_file_path = "C:\projects\webflow\forms_data\email-form-2024-06-28.csv"   # this need to be changed to your file path

# Read the CSV file with date format specified for 'Date' column
df = pd.read_csv(csv_file_path, parse_dates=['Date'], date_format='%m/%d/%Y %I:%M:%S %p')

# Set the specific period of time
start_date = pd.to_datetime('2024-07-01')

keNzi

import os
import pandas as pd


from google.analytics.data_v1beta import BetaAnalyticsDataClient
from google.analytics.data_v1beta.types import (
    DateRange,
    Dimension,
    Metric,
    MetricType,

keNzi

numbers = [1, 2, 3, 2, 2, 2, 2, 2, 9, 1]


def find_most_common_number(numbers):
    from collections import Counter
    return print(Counter(numbers).most_common(1)[0][0])


def find_most_common_number(numbers):
    count_list = [[x, numbers.count(x)] for x in set(numbers)]

keNzi

def xmassTree(floors):
    for x in [z for z in range(1, floors * 2 + 1, 2)]:
        floors -= 1
        print(' ' * floors, '*' * x)


xmassTree(5)


def xmasttree(count):