pandas
Powerful Python data analysis toolkit for structured data.
Language: PythonCategory: DataFirst released: 2013Created by: Wes McKinneyLicense: BSD-3-Clause
pandas is a fast, powerful, flexible, and easy-to-use open-source data analysis and manipulation tool built on top of NumPy. It provides two primary data structures — Series (1D) and DataFrame (2D) — for handling labeled and relational data. pandas excels at reading/writing data from diverse formats, handling missing data, reshaping, merging, and performing group-by operations, making it essential for data science workflows.
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Key Features
DataFrame and Series for labeled dataRead/write CSV, Excel, SQL, JSON, Parquet, HDF5Group-by operations for split-apply-combineMerging, joining, and concatenating datasetsReshaping and pivoting dataTime series functionality with date offsetsHandling missing data (NaN) gracefullyIntegration with NumPy, Matplotlib, scikit-learn