#74: Pandas (Part 51): Timestamp in Python with pd.to_datetime() | Tutorial

Timeline
(Python 3.7)

00:00 - Welcome
00:12 - Outline of video
00:28 - Open Jupyter notebook
00:48 - How to find help in Jupyter notebook?
01:40 - Create Datetime: using integer: (integer)
02:14 - Create Datetime: using float: (float)
02:38 - Create Datetime: using string: ('year-month-day')
03:12 - Create Datetime: using datetime64: ('year-month-day')
03:41 - Create multiple Datetime: using array
04:34 - Create multiple Datetime: using series: string
05:31 - Create multiple Datetime: using series: integer
05:57 - Create DataFrame
06:48 - Create multiple Datetime: using DataFrame
07:28 - Create multiple Datetime: using Dictionary
08:22 - Create Datetime: setting error= False, ignore, coerce
10:22 - Create Datetime: setting format
10:48 - Create Datetime: setting utc= True, False, None
13:00 - Create Datetime: setting unit='ns','D', 's', 'ms', 'us'
14:10 - Create Datetime: setting origin: date, unix, Julian
16:30 - Create Datetime: setting format: '%Y%m%d', '%y%m%d'
18:20 - Create Datetime: setting day first: True, False
22:05 - Ending notes