convert column in df into DateTime format in Python

import pandas as pd
from dateutil import parser

1.Create list:
column_date = list(df_jobs['Date'])
column_date

2.Data Cleaning
new_column_date = []
for item in column_date:
    day = str(item[0]).rstrip()
    month = str(item[1]).replace(',','')
    new_column_date.append(f"{day}-{month}")
new_column_date

df_jobs['Date'] = new_column_date

  #delete rows contain "today"
df_jobs = df_jobs[~df_jobs.Date.str.contains("today", na=False)]
df_jobs

3.Parse string to DateTime:
df_jobs['Date'] = [parser.parse(x) for x in df_jobs['Date']]
df_jobs