Pandas

Pandas is an essential library for data analysis in Python. It provides data structures and functions to efficiently manipulate large datasets.

Key Features

• DataFrame and Series data structures for easy data manipulation.
• Flexible handling of missing data.
• Powerful data alignment and reshaping capabilities.
• Integrated time series functionality.
• Easy reading and writing of data between in-memory structures and various formats.

Pros

• Robust community support and extensive documentation.
• Highly efficient for large datasets.
• Seamless integration with other Python libraries.
• Great for data cleaning and preparation.

Cons

• Steep learning curve for beginners.
• Memory-intensive for extremely large datasets.
• Limited support for real-time data processing.
• Some advanced features can be complex to implement.