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 .