Why use Pandas.

• The Pandas library is generally used for data science. This is because the Pandas library is used in conjunction with other libraries that are used for data science.
• Pandas is built on top of the NumPy library, structures of NumPy being used in Pandas.
• Here is a list of things that we can do using Pandas.
  1. Data set cleaning, merging, and joining.
  2. Easy handling of missing data in floating point as well as non-floating point data.
  3. Group by functionality for performing split-apply-combine operations on data sets.
  4. Data Visualization.

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