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Handles missing data imputation with fillna() strategies, type coercion with astype(), and memory optimization via category dtypes.\n\n## Installation\n\nUse the upstream install or setup path that matches your environment:\n- conda install -c conda-forge pandas\n- pip install pandas\n- pip install cython\n- pip install .\n\nRequirements and caveats from upstream:\n- # pandas: A Powerful Python Data Analysis Toolkit\n- **pandas** is a Python package that provides fast, flexible, and expressive data\n- doing practical, **real-world** data analysis in Python. Additionally, it has\n\nBasic usage or getting-started notes:\n- To install pandas from source you need [Cython](https://cython.org/) in addition to the normal\n- dependencies above. 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