Pandas is an open-source Python library used for data manipulation and analysis. It provides high-performance, easy-to-use data structures, such as DataFrame and Series, and tools for working with structured data.

Key Features of Pandas

• Data Structures: Provides two main data structures—Series (1D) and DataFrame (2D).
• Data Handling: Handles missing data, filtering, grouping, and merging efficiently.
• Data Import & Export: Supports CSV, Excel, SQL, JSON, and more.
• Data Analysis & Visualization: Enables easy analysis with statistical functions and integrates well with Matplotlib and Seaborn.

Installation

To install Pandas, use:

pip install pandas

Basic Example

import pandas as pd

# Creating a simple DataFrame
data = {'Name': ['Alice', 'Bob', 'Charlie'], 'Age': [25, 30, 35]}
df = pd.DataFrame(data)

print(df)

Output:

     Name  Age
0   Alice   25
1     Bob   30
2  Charlie  35