$ cat gap_in_seconds_frequency.py
import datetime
import requests
from io import BytesIO, TextIOWrapper
from zipfile import ZipFile
bytes = requests.get('https://s3.amazonaws.com/keras-datasets/jena_climate_2009_2016.csv.zip').content
with ZipFile(BytesIO(bytes)) as archive:
    with TextIOWrapper(archive.open('jena_climate_2009_2016.csv', 'r')) as file:
        header = file.readline().strip('\r\n')
        lines = file.read().splitlines()

expected_length = len(header.split(','))
gap_in_seconds_frequency = {}
previous_time = None
for line in lines:
    value = line.split(',')
    if (len(value) != expected_length):
        print('ERROR: ' + line)
    current_time = datetime.datetime.strptime(value[0], '%d.%m.%Y %H:%M:%S')
    if (previous_time is not None):
        gap = (current_time - previous_time).seconds
        if (gap in gap_in_seconds_frequency):
            gap_in_seconds_frequency[gap] += 1
        else:
            gap_in_seconds_frequency[gap] = 1
    previous_time = current_time

print(sorted(gap_in_seconds_frequency.items()))
$ time python gap_in_seconds_frequency.py
[(600, 420443), (1200, 2), (1800, 1), (8400, 1), (57600, 1), (60600, 1), (63600, 1)]

real    0m12.454s
user    0m2.791s
sys     0m0.055s
$