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The only 15 Python Pandas operations you need to remember:

Remembering all the Pandas operations is hard.

Remembering just a handful of them can do the trick if we want to work faster.

1. df.info() # Prints information about the DataFrame

2. df.describe() # Generates state of the columns

3. df.head() # Prints first (n) rows of the DataFrame

4. df.apply() # Applies functions on columns

5. df.groupby() # Applies aggregation of a column

6. df.sort_values() # Sorts tables

7. df.sample() # Sample data

8. pd.read_filetype(filename) # Imports from a filetype

9. df.to_filetype(filename) # Exports to a filetype

10. df.plot() # Generates plot

11. pd.to_datetime # Converts object to a datetime column

11. df.filter() # Filter on columns

12. df.drop() # Drops rows based on a condition

13. df.rank() # Generates ranks on a column

14. df1.append(df2) # Adds the rows in df1 to the df2

15. pd.isnull() # Checks the null values

https://geekycodes.in/managing-data-from-relational-databases-using-python/
Managing Data from Relational Databases using Python