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Update readme to point to the online documentation. Fix a small typo.
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README.md

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@@ -30,10 +30,8 @@ DataFusion's Python bindings can be used as a foundation for building new data s
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planning, and logical plan optimizations, and then transpiles the logical plan to Dask operations for execution.
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- [DataFusion Ballista](https://github.com/apache/datafusion-ballista) is a distributed SQL query engine that extends
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DataFusion's Python bindings for distributed use cases.
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It is also possible to use these Python bindings directly for DataFrame and SQL operations, but you may find that
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[Polars](http://pola.rs/) and [DuckDB](http://www.duckdb.org/) are more suitable for this use case, since they have
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more of an end-user focus and are more actively maintained than these Python bindings.
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- [DataFusion Ray](https://github.com/apache/datafusion-ray) is another distributed query engine that uses
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DataFusion's Python bindings.
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## Features
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print(ctx)
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```
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## Extensions
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For information about how to extend DataFusion Python, please see the extensions page of the
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[online documentation](https://datafusion.apache.org/python/).
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## More Examples
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See [examples](examples/README.md) for more information.

docs/source/contributor-guide/ffi.rst

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``SessionContext``. Unfortunately, this will not work.
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When you produce your code as a Python library and it needs to interact with the DataFusion
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library, at the lowest level they communicate through and Application Binary Interface (ABI).
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library, at the lowest level they communicate through an Application Binary Interface (ABI).
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The acronym sounds similar to API (Application Programming Interface), but it is distinctly
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different.
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