In this session, we will discuss about data types in Pandas. When doing data analysis, it is important to make sure you are using the correct data types, otherwise you may get unexpected results or errors. In the case of pandas, it will correctly infer data types in many cases and you can move on with your analysis without any further thought on the topic.
This session will discuss the common pandas data types, how they map to Python and NumPy data types.
Chapters:
00:00 - Introduction
01:18 - Common Data Types In Pandas
03:11 - Inspecting The Dataset
07:24 - String Data Type In Pandas
17:20 - Numerical Data Type In Pandas
23:53 - Boolean Data Type In Pandas
24:30 - Date Time Data Type In Pandas
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