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.