Pandas 2.0 and its Ecosystem (Arrow, Polars, DuckDB)
Blog post from Airbyte
Pandas, a widely used Python library for data manipulation and analysis, has recently been updated to version 2.0. The new version adopts Apache Arrow as its backend, which is expected to improve speed, interoperability, and support for various data types. This update also marks the growing ecosystem around Arrow, with many frameworks and tools integrating it into their workflows. Pandas has established itself as a standard tool for in-memory data processing in Python, offering an extensive range of data manipulation capabilities. The adoption of Apache Arrow is expected to enhance Pandas' performance and make it more efficient when dealing with large datasets.
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