How to create a list of datetime with knowing only the start, the number of iteration and timedelta

I have multiple dataframe with various number of rows.
I want to generate differents lists in order to create a column of datetime in every dataframe.

Each row of dataframe correspond to a half-hourly step, and the datetime format is YYYYMMDD HHMMSS+0100

At the end my output should be:

     Date
0    20210101 000000+0100
1    20210101 003000+0100
2    20210101 010000+0100
3    20210101 013000+0100
....

The difference with the problems I encounter on the internet is that I do not enter the end date.

Thanks for your help

>Solution :

import pandas as pd
from datetime import datetime, timedelta
import pytz

df = pd.DataFrame([('A', 'Q'), ('Z', 'S'), ('E', 'D'), ('R', 'F')])

start = pytz.timezone('Europe/Amsterdam').localize(datetime(2021, 1, 1))
delta = timedelta(minutes=30)

# column of datetime
df['date'] = [start + delta * i for i in range(len(df))]

# column of string
df['date'] = df['date'].apply(lambda x: x.strftime("%Y%m%d %H%M%S%z"))

   0  1                  date
0  A  Q  20210101 000000+0100
1  Z  S  20210101 003000+0100
2  E  D  20210101 010000+0100
3  R  F  20210101 013000+0100