Pandas provides data structures for efficiently storing and manipulating large datasets. It offers tools for data cleaning, transformation, and analysis.
Key features
- DataFrame and Series data structures for easy manipulation.
- Powerful data alignment and indexing capabilities.
- Support for reading and writing data in various formats (CSV, Excel, SQL, etc.).
- Built-in functions for data aggregation and transformation.
- Time series functionality for date and time data.
Pros
- Open-source and free to use.
- Highly efficient for large datasets.
- Strong community support and extensive documentation.
- Flexible for a wide range of data manipulation tasks.
Cons
- Steeper learning curve for beginners.
- Limited support for real-time data processing.
- Can consume a lot of memory with very large datasets.