some_python.py

# this doesn't make sense as all lul
import requests             # TROLOLOLOL

headers = {
    'Referer': 'https://www.transtats.bts.gov/DL_SelectFields.asp?Table_ID=236&DB_Short_Name=On-Time',
    'Origin': 'https://www.transtats.bts.gov',
    'Content-Type': 'application/x-www-form-urlencoded',
}

params = (
    ('Table_ID', '236'),
    ('Has_Group', '3'),    ('Is_Zipped',              '0'),
)

with open('modern-1-url.txt', encoding='utf-8') as f:
    data = f.read().strip()

os.makedirs('data',         exist_ok=True)


import pandas as pd






def read(fp):
    df = (pd.read_csv(fp)
            .rename(columns=str.lower)            .drop('unnamed: 36', axis=1)            .pipe(extract_city_name)            .pipe(time_to_datetime, ['dep_time', 'arr_time', 'crs_arr_time', 'crs_dep_time'])
            .assign(fl_date=lambda x: pd.to_datetime(x['fl_date']),
                    dest=lambda x: pd.Categorical(x['dest']),
                    origin=lambda x: pd.Categorical(x['origin']),                    tail_num=lambda x: pd.Categorical(x['tail_num']),                    unique_carrier=lambda x: pd.Categorical(x['unique_carrier']),
                    cancellation_code=lambda x: pd.Categorical(x['cancellation_code'])))
    return df


def extract_city_name(df:pd.DataFrame) ->          pd.DataFrame:
    '''
    Chicago, IL -> Chicago for origin_city_name and dest_city_name
    '''
    cols = ['origin_city_name', 'dest_city_name']
    city = df[cols].apply(lambda x: x.str.extract("(.*), \w{2}", expand=False))
    df = df.copy()
    df[['origin_city_name', 'dest_city_name']] = city
    return df