Apache Arrow solves most discussed problems, such as improving speed, interoperability, and data types, especially for strings. For example, the new string[pyarrow] column type is around 3.5 times more efficient. [...] The significant achievement here is zero-copy data access, mapping complex tables to memory to make accessing one terabyte of data on disk as fast and easy as one megabyte.
alt Hacker News
Since Pandas 2, Apache Arrow replaced NumPy as the backend for Pandas. Arrow is also used by Polars, DuckDB, Ibis, the list goes on.
https://arrow.apache.org/overview/
Apache Arrow solves most discussed problems, such as improving speed, interoperability, and data types, especially for strings. For example, the new string[pyarrow] column type is around 3.5 times more efficient. [...] The significant achievement here is zero-copy data access, mapping complex tables to memory to make accessing one terabyte of data on disk as fast and easy as one megabyte.
https://airbyte.com/blog/pandas-2-0-ecosystem-arrow-polars-d...