This repository contains self explanatory Jupyter notebook sheets to understand the potential of Pandas package.
Topics covered
1.Selecting columns from dataframe.
2.Adding new column to the dataframe.
3.Handling null values using dropna() and fillna().
4.Dataframe column type conversion.
5.Dataframe sorting.
6.Dataframe ranking.
7.Broadcasting operations.
8.Dataframe filtering
9.The drop_duplicates() method
10.The unique() and nunique() methods
11.Dataframe memory optimization