AI - Pandas
Efficiently manipulate and process structured data using Pandas' powerful library and community support.
- Name
- Pandas -https://github.com/pandas-dev/pandas
- Last Audited At
About Pandas
Pandas is a powerful data manipulation library developed under the NumFOCUS umbrella. It offers various data structures and functions to handle structured data, particularly tabular data, efficiently. The library provides features such as subsetting using boolean indexing, merging and joining datasets, reshaping data through pivot tables, multi-level indexing, reading and writing files in various formats like CSV, Excel, SQL databases, and HDF5. Its roots date back to 2008 when the development began at AQR Capital Management, a quantitative hedge fund. For assistance with usage-related queries, the community relies on StackOverflow, whereas general discussions take place on the pydata mailing list.