Read csv file, parse data, and store in a dictionary

[DeaD_EyE]

My mistake.

In line number 9:

playlist_dict[dt].append((song, artist))
# the key dt does not exist
# no list behind

to...

playlist_dict[dt] = (song, artist)

If you expect songs/artist with the same date, then the value should be a list.

from collections import defaultdict

playlist_dict = defaultdict(list)
# not existing keys, return an empty list
# which could be modified

playlist_dict['this key does not exist'].append(42)  # <-- returns an empty list, which is already assigned to the key
# now the key 'this key does not exist' exists.
playlist_dict['this key does not exist'].append(43) # <-- adding next object to the existing list

So you can decide. Just assign a tuple with song/artist to the key.
If there is an song/artist with the same date, the old one is just overwritten.
If you expect this, the easiest way is to use a defaultdict.

import csv
from collections import defaultdict


with open('playlist.txt', 'r') as csv_file:
    playlist_dict = defaultdict(list)
    reader = csv.reader(
        csv_file, quotechar='"', delimiter=',',
        quoting=csv.QUOTE_ALL, skipinitialspace=True
    )
    for timestamp, song, artist in reader:
       dt = datetime.strptime(timestamp, '%B %d, %Y %I:%M %p')
       playlist_dict[dt].append((song, artist))
 
 
print(playlist_dict)