yigal-rozenberg commented on code in PR #1614:
URL: https://github.com/apache/iceberg-python/pull/1614#discussion_r1949896700


##########
mkdocs/docs/api.md:
##########
@@ -1533,3 +1533,111 @@ df.show(2)
 
 (Showing first 2 rows)
 ```
+
+### Polars
+
+PyIceberg interfaces closely with Polars Dataframes and LazyFrame which 
provides a full lazily optimized query engine interface on top of PyIceberg 
tables.
+
+<!-- prettier-ignore-start -->
+
+!!! note "Requirements"
+    This requires [`polars` to be installed](index.md).
+
+<!-- prettier-ignore-end -->
+
+#### Working with Polars DataFrame
+
+PyIceberg makes it easy to filter out data from a huge table and pull it into 
a Polars dataframe locally. This will only fetch the relevant Parquet files for 
the query and apply the filter. This will reduce IO and therefore improve 
performance and reduce cost.
+
+```python

Review Comment:
   done



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