Pandas

Pandas is an open-source data manipulation and analysis library for Python. It provides data structures for efficiently storing and manipulating large datasets, as well as tools for working with structured data, time series, and statistical functions. Pandas is built on top of NumPy and integrates well with other libraries in the Python ecosystem, such as Matplotlib for data visualization and Scikit-learn for machine learning. The two primary data structures in Pandas are Series (one-dimensional labeled array) and DataFrame (two-dimensional labeled data structure with columns of potentially different types). Pandas also provides powerful indexing and filtering capabilities, as well as methods for handling missing data. Overall, Pandas is a versatile and powerful tool for data analysis and manipulation in Python.