how to convert string datetime representation to datetime field in pandas?

I have a csv , with text data (sample below) .

id   |  name     |   date                     
    
123 |   abc   |  2024-08-05T21:00:26:074Z 
456 |  efg    |  2024-08-05T21:34:30.502z 

I want to filter the data based on date field , for this , i tried to read/convert datetime string to date field but get , following error => this throws an error that time data ‘2024-08-05T21:34:30.502Z" doesn’t match format “%Y-%m-%dT%H:%M:%S%z” , at position …

Question – i really don’t need the time part of this date field . is there a way to ignore this and convert the rest to date field?

import pandas as pd

df = pd.read_csv('test.csv')

df['formatted_date'] = pd.to_datetime(df['date'])

filtered_df = df[df['formatted_date'] > '2024-08-05']

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