Pandas Library in Data Science

Pandas is a Python library for data manipulation and analyzing dataset with rows and Columns. Suitable for working with Large Datasets.


Why Pandas is used in Python for Data Science:

Stores data in a structured way using Data Frames.

Easily handle missing data, duplicates, or incorrect values.

Perform calculations, filtering, sorting, grouping, and aggregation.

Read and write CSV, Excel, SQL, JSON, and more.

Integration with Other Libraries: Works well with NumPy, Matplotlib, Seaborn, and Scikit-learn.

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