#38 Pandas: Nullable Integer and booleans in Python - 24 | Tutorial

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Timeline
(Python 3.7)

00:00 - Welcome
00:10 - Outline of video
00:28 - Open Jupyter notebook
00:31 - Upgrade libraries: Pandas and Numpy
01:23 - Check version of Pandas and Numpy using: pd.__version__ ; np.__version__
02:00 - Data: None
02:22 - What is Int64?
07:50 - Create a Series using Pandas array
09:30 - Operations using Pandas Int64: create a Series
09:30 - Operations using Pandas Int64: '+'
10:23 - Operations using Pandas Int64: boolean
10:38 - Operations using Pandas Int64: slicing
11:14 - Operations using Pandas Int64: addition with different data type 'Int8'
12:13 - Operations using Pandas Int64: force convert Int64 to float
13:00 - How does NA work in DataFrame: create DataFrame using Series with NA
13:56 - How does NA work in DataFrame: dtypes
14:26 - How does NA work in DataFrame: convert column from Int64 to float
15:12 - How does NA work in DataFrame: .sum()
15:54 - How does NA work in DataFrame: .groupby()
17:07 - Concat Series with Int64: create Series
18:27 - Concat Series with Int64: .concat()
19:38 - Slicing Series with NA, Int64
24:49 - Ending notes
  1. learndataa
  2. pandas nullables
  3. integers in python
  4. pandas null values
  5. python integer
  6. python in data science
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