Use of Pandas in Python are:

• DataFrame object for data manipulation with integrated indexing.
• Tools for reading and writing data between in-memory data structures and different file formats.
• Data alignment and integrated handling of missing data.econometrics
• Reshaping and pivoting of data sets.
• Label-based slicing, fancy indexing, and subsetting of large data sets.
• Data structure column insertion and deletion.
• Group by engine allowing split-apply-combine operations on data sets.
• Data set merging and joining.
• Hierarchical axis indexing to work with high-dimensional data in a lower-dimensional data structure.
• Time series-functionality: Date range generation and frequency conversion, moving window statistics, moving window linear regressions, date shifting and lagging.
• Provides data filtration.

For a detailed tutorial on Python Pandas please visit https://www.c-sharpcorner.com/article/a-complete-pandas-tutorial/