Learn multiple methods of applying a function on different columns of a pandas dataframe and also mentioned the fastest method to accomplish the same using apply().
Applications:
1. Assigning values to rows with NULL.
2. Updating a column based on another column's value
3. Changing data types of columns
4. Adding new columns from combinations of existing columns..[believe me this is the most used operation in my experience]
In the upcoming video i will be discussing an interesting approach to create pivot tables in pandas in just few lines of code.
Please add comments if you want to discuss any specific topics
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