Pandas

Pandas is the core Python library for high-performance data manipulation and analysis: it introduces the DataFrame and Series structures for fast, flexible handling of labeled data.

Pandas is your go-to, open-source Python library for data science, engineered for efficient data manipulation and analysis. It centers on two primary data structures: the two-dimensional DataFrame (like a spreadsheet or SQL table) and the one-dimensional Series. This toolkit handles everything from loading diverse file formats (CSV, Excel, JSON) to complex operations: data cleaning, transformation, statistical analysis, and time series processing. Developed by Wes McKinney in 2008, Pandas builds directly on NumPy and provides an intuitive API, making it the industry standard for turning raw data into actionable insights with minimal code.

https://pandas.pydata.org