Merge pull request #4436 from szarnyasg/nits-20241224a

Nits 20241224a

Author: szarnyasg

docs/extensions/working_with_extensions.md

@@ -163,7 +163,7 @@ Any subsequent calls to `INSTALL ⟨extension_name⟩` will use the local versio
 FORCE INSTALL extension_name;
 ```
 
-Force installing can also be used to overwrite an extension with an extension with the same name from another repository,
+Force installing can also be used to overwrite an extension with an extension of the same name from another repository,
 
 For example, first, `spatial` is installed from the core repository:
 

docs/guides/python/import_arrow.md

@@ -3,7 +3,7 @@ layout: docu
 title: Import from Apache Arrow
 ---
 
-`CREATE TABLE AS` and `INSERT INTO` can be used to create a table from any query. We can then create tables or insert into existing tables by referring to referring to the Apache Arrow object in the query. This example imports from an [Arrow Table](https://arrow.apache.org/docs/python/generated/pyarrow.Table.html), but DuckDB can query different Apache Arrow formats as seen in the [SQL on Arrow guide]({% link docs/guides/python/sql_on_arrow.md %}).
+`CREATE TABLE AS` and `INSERT INTO` can be used to create a table from any query. We can then create tables or insert into existing tables by referring to the Apache Arrow object in the query. This example imports from an [Arrow Table](https://arrow.apache.org/docs/python/generated/pyarrow.Table.html), but DuckDB can query different Apache Arrow formats as seen in the [SQL on Arrow guide]({% link docs/guides/python/sql_on_arrow.md %}).
 
 ```python
 import duckdb

docs/guides/python/import_pandas.md

@@ -4,7 +4,7 @@ title: Import from Pandas
 ---
 
 [`CREATE TABLE ... AS`]({% link docs/sql/statements/create_table.md %}#create-table--as-select-ctas) and [`INSERT INTO`]({% link docs/sql/statements/insert.md %}) can be used to create a table from any query.
-We can then create tables or insert into existing tables by referring to referring to the [Pandas](https://pandas.pydata.org/) DataFrame in the query.
+We can then create tables or insert into existing tables by referring to the [Pandas](https://pandas.pydata.org/) DataFrame in the query.
 There is no need to register the DataFrames manually –
 DuckDB can find them in the Python process by name thanks to [replacement scans]({% link docs/guides/glossary.md %}#replacement-scan).