Pandas is a powerful open-source data analysis and manipulation library for the Python programming language. It provides flexible and expressive data structures, primarily the DataFrame, which allows users to work with labeled and relational data intuitively. With its ability to handle various data types, including numerical tables and time series, Pandas is widely used in data science and analytics. The library simplifies tasks such as data cleaning, transformation, and visualization, making it an essential tool for anyone looking to perform practical data analysis in Python. Its user-friendly interface and extensive functionality contribute to its popularity among data professionals.